DEV.src

________________________________________
		   must read references
________________________________________


https://github.com/jason718/awesome-self-supervised-learning
https://www.paperswithcode.com/
https://github.com/lucidrains
https://pytorch.org/docs/stable/index.html
https://realpython.com/
https://www.pyimagesearch.com/
https://drive.google.com/drive/folders/18yLzjMke-FD_onY-ayqDo03uqxUS-cHc => Google Drive Books
https://github.com/atcold/pytorch-Deep-Learning/ => DL tutorial
https://github.com/ritchieng/deep-learning-wizard => DL tutorial
https://julienbeaulieu.gitbook.io => DS tutorial
https://drive.google.com/drive/folders/1vNTdWOWXI3MetTYlIxnxDuWRK6M5VGZH => Google Drive CSR folder + ideas.txt + master_thesis.docx for research papers
https://github.com/wildonion/cs-concepts => CS Concepts and Roadmap


____________________________________________
     whole AI references in my bachelor-master
____________________________________________


http://colah.github.io/posts/2015-09-Visual-Information/
https://towardsdatascience.com/understanding-the-bias-variance-tradeoff-165e6942b229 => a good model has low bias and low variance which doesn't make underfitting or overfitting
https://medium.com/all-things-ai/in-depth-parameter-tuning-for-svc-758215394769
https://jakevdp.github.io/PythonDataScienceHandbook/05.07-support-vector-machines.html
https://medium.com/analytics-vidhya/implementing-svm-for-performing-classification-and-finding-accuracy-in-python-using-datasets-wine-e4fef8e804b4
https://www.ritchieng.com/machine-learning-multinomial-naive-bayes-vectorization/
https://machinelearningmastery.com/how-to-calculate-precision-recall-f1-and-more-for-deep-learning-models/
https://medium.com/dair-ai/an-illustrated-guide-to-graph-neural-networks-d5564a551783
https://ai.facebook.com/blog/self-supervised-learning-the-dark-matter-of-intelligence/
https://ai.stackexchange.com/questions/10623/what-is-self-supervised-learning-in-machine-learning
https://jtsulliv.github.io/perceptron/
https://levelup.gitconnected.com/killer-combo-softmax-and-cross-entropy-5907442f60ba
https://www.adeveloperdiary.com/data-science/deep-learning/neural-network-with-softmax-in-python/
https://www.python-course.eu/softmax.php
https://themaverickmeerkat.com/2019-10-23-Softmax/
https://deepnotes.io/softmax-crossentropy
https://discuss.pytorch.org/t/how-to-normalize-a-tensor-to-0-mean-and-1-variance/18766/19
https://discuss.pytorch.org/t/understanding-transform-normalize/
https://discuss.pytorch.org/t/simple-way-to-inverse-transform-normalization
https://www.programmersought.com/article/26551224620/
https://medium.com/analytics-vidhya/manual-step-by-step-single-link-hierarchical-clustering-with-dendogram-68cf1bbd737f
https://github.com/Darkprogrammerpb/DeepLearningProjects/blob/master/Project40/agglomerative_hierarchial_clustering/Hierarchial%20Agglomerative%20clustering.ipynb
https://kazemnejad.com/blog/transformer_architecture_positional_encoding/
https://datascience.stackexchange.com/questions/51065/what-is-the-positional-encoding-in-the-transformer-model
http://jalammar.github.io/illustrated-bert/
http://jalammar.github.io/illustrated-transformer/
http://jalammar.github.io/illustrated-gpt2/
http://jalammar.github.io/how-gpt3-works-visualizations-animations/
https://hadrienj.github.io/posts/Preprocessing-for-deep-learning/
https://medium.com/@khashei/writing-persian-poetry-with-gpt-2-0-71b7197317ea
https://towardsdatascience.com/train-test-split-and-cross-validation-in-python-80b61beca4b6
https://towardsdatascience.com/pytorch-tabular-multiclass-classification-9f8211a123ab
https://www.depends-on-the-definition.com/guide-to-multi-label-classification-with-neural-networks/
https://gombru.github.io/2018/05/23/cross_entropy_loss/
https://pytorch.org/tutorials/recipes/recipes/tensorboard_with_pytorch.html
https://www.kaggle.com/ratnesh88/breast-cancer-prediction-using-pytorch
https://www.kaggle.com/graymant/breast-cancer-diagnosis-with-pytorch
https://towardsdatascience.com/introducing-deep-learning-and-neural-networks-deep-learning-for-rookies-1-bd68f9cf5883
https://towardsdatascience.com/building-efficient-custom-datasets-in-pytorch-2563b946fd9f
https://www.kaggle.com/pinocookie/pytorch-dataset-and-dataloader
https://medium.com/speechmatics/how-to-build-a-streaming-dataloader-with-pytorch-a66dd891d9dd
https://medium.com/analytics-vidhya/writing-a-custom-dataloader-for-a-simple-neural-network-in-pytorch-a310bea680af
https://naadispeaks.wordpress.com/2019/10/08/pytorch-custom-dataset-tips-and-tricks/
https://stanford.edu/~shervine/blog/pytorch-how-to-generate-data-parallel
https://debuggercafe.com/custom-dataset-and-dataloader-in-pytorch/
https://pytorch.org/tutorials/recipes/recipes/custom_dataset_transforms_loader.html
https://pytorch.org/tutorials/beginner/data_loading_tutorial.html
https://medium.com/@jonathan_hui
https://machinelearningmastery.com/calculate-feature-importance-with-python/
https://amitness.com/2020/03/python-magic-behind-pytorch/
https://youtu.be/4Bdc55j80l8
https://towardsdatascience.com/illustrated-guide-to-lstms-and-gru-s-a-step-by-step-explanation-44e9eb85bf21
https://jhui.github.io/2017/03/15/RNN-LSTM-GRU/
http://dprogrammer.org/rnn-lstm-gru
http://www.briandolhansky.com/blog/2014/10/30/artificial-neural-networks-matrix-form-part-5
https://www.kdnuggets.com/2018/04/derivation-convolutional-neural-network-fully-connected-step-by-step.html
https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.html
https://lilianweng.github.io/lil-log/tag/generative-model
https://www.databriefing.com/coding/predict-sales-1/
https://towardsdatascience.com/an-end-to-end-project-on-time-series-analysis-and-forecasting-with-python-4835e6bf050b
https://www.analyticsvidhya.com/blog/2018/02/time-series-forecasting-methods/
rsandstroem.github.io/predicting-retail-sales.html
https://pythonprogramming.net/forecasting-predicting-machine-learning-tutorial/
https://medium.com/analytics-vidhya/walmart-sales-forecasting-d6bd537e4904
https://www.kaggle.com/bashkeel/eda-to-ensemble-model-lasso-ridge-xgboost
https://www.dataquest.io/blog/kaggle-getting-started/
https://towardsdatascience.com/linear-regression-with-pytorch-eb6dedead817
https://www.kaggle.com/leostep/pytorch-dense-network-for-house-pricing-regression
https://medium.com/@benjamin.phillips22/simple-regression-with-neural-networks-in-pytorch-313f06910379
https://www.kaggle.com/ashydv/sales-prediction-simple-linear-regression
https://stackabuse.com/multiple-linear-regression-with-python/
https://datatofish.com/multiple-linear-regression-python/
https://medium.com/@harishreddyp98/linear-regression-in-python-c164149b93ab
https://machinelearningmastery.com/time-series-forecast-study-python-monthly-sales-french-champagne/
https://github.com/hunkim/PyTorchZeroToAll
https://www.youtube.com/playlist?list=PLlMkM4tgfjnJ3I-dbhO9JTw7gNty6o_2m
https://www.deepideas.net/deep-learning-from-scratch-i-computational-graphs/
https://github.com/tejaslodaya/timeseries-clustering-vae/
https://towardsdatascience.com/how-to-save-and-load-a-model-in-pytorch-with-a-complete-example-c2920e617dee
https://ermongroup.github.io/cs228-notes/extras/vae/
https://jovianlin.io/data-visualization-seaborn-part-3/
https://mlexplained.com/2018/09/14/paper-dissected-visualizing-data-using-t-sne-explained/
https://blog.paperspace.com/adversarial-autoencoders-with-pytorch/
https://chrisorm.github.io/VAE-pyt.html
https://becominghuman.ai/variational-autoencoders-for-new-fruits-with-keras-and-pytorch-6d0cfc4eeabd        
https://modelzoo.co/model/adversarial-autoencoder
https://xifengguo.github.io/papers/ICONIP17-DCEC.pdf
https://developers.google.com/machine-learning/clustering
https://arxiv.org/pdf/1806.02146v1.pdf
https://www.datacamp.com/community/tutorials/principal-component-analysis-in-python
https://towardsdatascience.com/understanding-hdbscan-and-density-based-clustering-121dbee1320e
https://towardsdatascience.com/unsupervised-machine-learning-clustering-analysis-d40f2b34ae7e
https://www.kaggle.com/aljarah/xAPI-Edu-Data
https://www.pyimagesearch.com/2020/02/17/autoencoders-with-keras-tensorflow-and-deep-learning/
https://www.kaggle.com/spscientist/students-performance-in-exams
https://archive.ics.uci.edu/ml/datasets/student+performance
https://www.ijrte.org/wp-content/uploads/papers/v8i1s4/A11880681S419.pdf
https://blog.keras.io/building-autoencoders-in-keras.html
https://hdbscan.readthedocs.io/en/latest/index.html
https://github.com/XifengGuo/DEC-keras
https://www.dlology.com/blog/how-to-do-unsupervised-clustering-with-keras/
https://medium.com/@SmartLabAI/reinforcement-learning-algorithms-an-intuitive-overview-904e2dff5bbc
https://ai-mrkogao.github.io/reinforcement%20learning/clusteringkeras/
http://www.datastuff.tech/machine-learning/autoencoder-deep-learning-tensorflow-eager-api-keras/
https://kenzotakahashi.github.io/k-means-clustering-from-scratch-in-python.html
https://automaticaddison.com/k-means-clustering-algorithm-from-scratch-machine-learning/
https://towardsdatascience.com/k-means-clustering-implementation-2018-ac5cd1e51d0a
https://www.analyticsvidhya.com/blog/2019/08/comprehensive-guide-k-means-clustering/
https://medium.com/machine-learning-algorithms-from-scratch/k-means-clustering-from-scratch-in-python-1675d38eee42
https://mubaris.com/2017-10-01/kmeans-clustering-in-python
https://dfrieds.com/machine-learning/k-means-from-scratch-python
http://madhugnadig.com/articles/machine-learning/2017/03/04/implementing-k-means-clustering-from-scratch-in-python.html
http://benalexkeen.com/k-means-clustering-in-python/
https://mmuratarat.github.io/2019-07-23/kmeans_from_scratch
https://www.analyticsvidhya.com/blog/2018/06/comprehensive-guide-recommendation-engine-python/?utm_source=blog&utm_medium=comprehensive-guide-k-means-clustering
https://towardsdatascience.com/understanding-k-means-clustering-in-machine-learning-6a6e67336aa1
https://www.kdnuggets.com/2019/04/k-means-clustering-unsupervised-learning-recommender-systems.html
https://towardsdatascience.com/build-your-own-clustering-based-recommendation-engine-in-15-minutes-bdddd591d394
https://deepnotes.io/deep-clustering
https://towardsdatascience.com/deep-clustering-for-financial-market-segmentation-2a41573618cf
https://divamgupta.com/unsupervised-learning/2019/03/08/an-overview-of-deep-learning-based-clustering-techniques.html
https://towardsdatascience.com/unsupervised-learning-and-data-clustering-eeecb78b422a
https://www.dlology.com/blog/how-to-do-unsupervised-clustering-with-keras/
https://roberttlange.github.io/posts/2020/03/blog-post-10/
https://medium.com/@phylypo/a-survey-of-the-state-of-the-art-language-models-up-to-early-2020-aba824302c6
https://openai.com/blog/generative-models/
https://venturebeat.com/2019/12/26/gan-generative-adversarial-network-explainer-ai-machine-learning/
https://www.youtube.com/watch?v=ErfnhcEV1O8
https://gaussian37.github.io/ml-concept-Infomation-Theory/
https://web.stanford.edu/~montanar/RESEARCH/BOOK/partA.pdf
https://towardsdatascience.com/probability-and-statistics-explained-in-the-context-of-deep-learning-ed1509b2eb3f
https://towardsdatascience.com/comprehensive-introduction-to-turing-learning-and-gans-part-2-fd8e4a70775
https://modelzoo.co/category/generative-models
https://github.com/sekwiatkowskiawesome-capsule-networks
https://github.com/khanhnamle1994/neural-nets
https://stackoverflow.com/questions/40758562/can-anyone-explain-me-standardscaler
http://sebastianraschka.com/Articles/2014_about_feature_scaling.html
https://medium.com/lis-computer-vision-blogs/gans-cgans-ae-aae-ave-caae-cave-2e7d23255b52
https://towardsdatascience.com/must-read-papers-on-gans-b665bbae3317
https://www.youtube.com/watch?v=yFBFl1cLYx8&feature=youtu.be
https://heartbeat.fritz.ai/stylegans-use-machine-learning-to-generate-and-customize-realistic-images-c943388dc672
https://pathmind.com/wiki/generative-adversarial-network-gan
https://towardsdatascience.com/generating-modern-arts-using-generative-adversarial-network-gan-on-spell-39f67f83c7b4
https://medium.com/ml-everything/generating-letters-using-generative-adversarial-networks-gans-161b0be3c229
https://www.toptal.com/machine-learning/generative-adversarial-networks
https://researchcode.com/code/1873018888/adversarial-autoencoders/
https://rubikscode.net/2018/12/10/introduction-to-generative-adversarial-networks-gans/
https://rubikscode.net/2019/01/14/introduction-to-adversarial-autoencoders/
https://lionbridge.ai/articles/how-to-generate-anime-faces-using-gans-via-pytorch/
https://towardsdatascience.com/gan-objective-functions-gans-and-their-variations-ad77340bce3c
https://rubikscode.net/2018/11/19/introduction-to-autoencoders/
https://www.datacamp.com/community/tutorials/autoencoder-keras-tutorial
https://ermongroup.github.io/cs228-notes/extras/vae/
https://www.youtube.com/watch?v=0oEMORg04zw&list=PLdk2fd27CQzRSl0UoxnMrlQY0uoQGmgLk
https://www.youtube.com/watch?v=ikt0sny_ImY
https://www.youtube.com/watch?v=uCaPP4blYAg
https://www.youtube.com/watch?v=EQZaSuK-PHs
https://www.youtube.com/watch?v=8dqdDEyzkFA
https://static.googleusercontent.com/media/research.google.com/ru//pubs/archive/45530.pdf
https://www.youtube.com/watch?v=XoTwndOgXBM&t=5058s
https://towardsdatascience.com/kohonen-self-organizing-maps-a29040d688da
https://www.analyticsvidhya.com/blog/2018/06/unsupervised-deep-learning-computer-vision/
https://www.youtube.com/watch?v=kE5QZ8G_78c
https://www.youtube.com/watch?v=IUn8k5zSI6g
https://medium.com/intuitive-deep-learning/autoencoders-neural-networks-for-unsupervised-learning-83af5f092f0b
https://algorithmia.com/blog/introduction-to-unsupervised-learning
https://blog.keras.io/building-autoencoders-in-keras.html
https://medium.com/@venkatakrishna.jonnalagadda/sparse-stacked-and-variational-autoencoder-efe5bfe73b64
https://www.analyticsvidhya.com/blog/2018/05/essentials-of-deep-learning-trudging-into-unsupervised-deep-learning/
medium.com/deep-math-machine-learning-ai/ch-13-deep-reinforcement-learning-deep-q-learning-and-policy-gradients-towards-agi-a2a0b611617e
pythonhealthcare.org/2018/10/01/94-genetic-algorithms-a-simple-genetic-algorithm/
heartbeat.fritz.ai/the-5-algorithms-for-efficient-deep-learning-inference-on-small-devices-bcc2d18aa806
infoworld.com/article/3394399/machine-learning-algorithms-explained.html
medium.com/@SmartLabAI/reinforcement-learning-algorithms-an-intuitive-overview-904e2dff5bbc
medium.com/datadriveninvestor/math-neural-network-from-scratch-in-python-d6da9f29ce65
freecodecamp.org/news/building-a-neural-network-from-scratch/
mikulskibartosz.name/understanding-the-keras-layer-input-shapes/
mc.ai/lstm-with-keras/
stackoverflow.com/questions/44273249/in-keras-what-exactly-am-i-configuring-when-i-create-a-stateful-lstm-layer-wi
intellipaat.com/community/21811/multi-dimensional-input-for-lstm-in-keras
towardsdatascience.com/understanding-lstm-and-its-quick-implementation-in-keras-for-sentiment-analysis-af410fd85b47
towardsdatascience.com/animated-rnn-lstm-and-gru-ef124d06cf45?source=post_recirc---------1------------------
towardsdatascience.com/machine-learning-recurrent-neural-networks-and-long-short-term-memory-lstm-python-keras-example-86001ceaaebc
machinelearningmastery.com/tutorial-first-neural-network-python-keras/
victorzhou.com/blog/intro-to-neural-networks/
github.com/PacktPublishing
github.com/makeyourownneuralnetwork/makeyourownneuralnetwork
github.com/PacktPublishing/Mastering-Machine-Learning-for-Penetration-Testing
digitalocean.com/community/tutorials/how-to-build-a-neural-network-to-recognize-handwritten-digits-with-tensorflow
cs231n.github.io/convolutional-networks/
missinglink.ai/guides/neural-network-concepts/convolutional-neural-network-build-one-keras-pytorch/
missinglink.ai/guides/keras/keras-conv1d-working-1d-convolutional-neural-networks-keras/
victorzhou.com/blog/intro-to-cnns-part-1/
victorzhou.com/blog/intro-to-cnns-part-2/
youtube.com/watch?v=IUn8k5zSI6g
youtube.com/watch?v=kE5QZ8G_78c
youtube.com/watch?v=EQZaSuK-PHs
youtube.com/watch?v=8dqdDEyzkFA
youtube.com/watch?v=sgL7RrqhGKI
medium.com/intuitive-deep-learning/intuitive-deep-learning-part-2-cnns-for-computer-vision-24992d050a27
medium.com/technologymadeeasy/the-best-explanation-of-convolutional-neural-networks-on-the-internet-fbb8b1ad5df8
deeplearningbook.org/
medium.com/intuitive-deep-learning/intuitive-deep-learning-part-4-deep-reinforcement-learning-d3b57f246bd8?source=collection_home---4------0-----------------------
stats.stackexchange.com/questions/181/how-to-choose-the-number-of-hidden-layers-and-nodes-in-a-feedforward-neural-netw
towardsdatascience.com/beginners-ask-how-many-hidden-layers-neurons-to-use-in-artificial-neural-networks-51466afa0d3e
towardsdatascience.com/understanding-neural-networks-19020b758230
youtube.com/watch?v=6g4O5UOH304
youtube.com/watch?v=wQ8BIBpya2k
youtube.com/watch?v=RznKVRTFkBY&list=PLZbbT5o_s2xrwRnXk_yCPtnqqo4_u2YGL
youtube.com/watch?v=5qCDzaOUCWA
youtube.com/watch?v=7wy0jqJU8ts
youtube.com/watch?v=jJaG2ytJVQU
youtube.com/watch?v=nVvhkVLh60o&list=PLc2rvfiptPSR3iwFp1VHVJFK4yAMo0wuF
youtube.com/watch?v=OhIa2cnGD8Y
becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463
ml-cheatsheet.readthedocs.io/en/latest/
python-course.eu/neural_networks_with_python_numpy.php
neuralnetworksanddeeplearning.com/chap1.html
towardsdatascience.com/coding-ml-tools-like-you-code-ml-models-ddba3357eace
towardsdatascience.com/how-to-build-a-simple-neural-network-from-scratch-with-python-9f011896d2f3
towardsdatascience.com/one-shot-learning-with-siamese-networks-using-keras-17f34e75bb3d
towardsdatascience.com/feed-forward-neural-networks-c503faa46620
towardsdatascience.com/deep-learning-feedforward-neural-network-26a6705dbdc7
https://www.freecodecamp.org/news/an-introduction-to-q-learning-reinforcement-learning-14ac0b4493cc/
medium.com/beyond-intelligence/reinforcement-learning-or-evolutionary-strategies-nature-has-a-solution-both-8bc80db539b3
openai.com/blog/evolution-strategies/
github.com/harvitronix/neural-network-genetic-algorithm
medium.com/sigmoid/https-medium-com-rishabh-anand-on-the-origin-of-genetic-algorithms-fc927d2e11e0
groundai.com/project/unsupervised-user-identity-linkage-via-factoid-embedding/
towardsdatascience.com/build-a-handwritten-text-recognition-system-using-tensorflow-2326a3487cd5
arxiv.org/abs/1909.02487
emfexplained.info/?ID=25916
medium.com/@aallan/hands-on-with-the-coral-usb-accelerator-a37fcb323553
blog.hackster.io/getting-started-with-the-intel-neural-compute-stick-2-and-the-raspberry-pi-6904ccfe963
towardsdatascience.com/malware-detection-using-deep-learning-6c95dd235432
youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A
towardsdatascience.com/spiking-neural-networks-the-next-generation-of-machine-learning-84e167f4eb2b
youtube.com/watch?v=z8DY5DndmxI
machinelearningmastery.com/use-different-batch-sizes-training-predicting-python-keras/
youtube.com/watch?v=1XRahNzA5bE
youtube.com/watch?v=VO1mCjHvzlo
youtube.com/watch?v=WxQfQW48A4A
youtube.com/watch?v=3begG_s9lzg
youtube.com/watch?v=lehLSoMPmcM&t=2s
youtube.com/watch?v=UvdWDcbAY7M
towardsdatascience.com/introduction-to-various-reinforcement-learning-algorithms-part-ii-trpo-ppo-87f2c5919bb9
github.com/openai/baselines
towardsdatascience.com/paper-repro-deep-neuroevolution-756871e00a66
aqibsaeed.github.io/2017-08-11-genetic-algorithm-for-optimizing-rnn/
adventuresinmachinelearning.com/gensim-word2vec-tutorial/
adventuresinmachinelearning.com/word2vec-tutorial-tensorflow/
adventuresinmachinelearning.com/recurrent-neural-networks-lstm-tutorial-tensorflow/
sciencedaily.com/releases/2019/07/190701163827.htm
sciencedaily.com/releases/2019/07/190702160115.htm
sciencedaily.com/releases/2019/06/190625093304.htm
machinelearningmastery.com/5-step-life-cycle-long-short-term-memory-models-keras/
machinelearningmastery.com/how-to-make-classification-and-regression-predictions-for-deep-learning-models-in-keras/
machinelearningmastery.com/text-generation-lstm-recurrent-neural-networks-python-keras/
medium.com/@shivajbd/understanding-input-and-output-shape-in-lstm-keras-c501ee95c65e
medium.com/@ageitgey/natural-language-processing-is-fun-part-3-explaining-model-predictions-486d8616813c
machinelearningmastery.com/pooling-layers-for-convolutional-neural-networks/
medium.com/appening-io/emotion-classification-2d4ed93bf4e2
machinelearningmastery.com/use-word-embedding-layers-deep-learning-keras/
missinglink.ai/guides/deep-learning-frameworks/keras-conv1d-working-1d-convolutional-neural-networks-keras/
kdnuggets.com/2018/04/implementing-deep-learning-methods-feature-engineering-text-data-skip-gram.html
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adventuresinmachinelearning.com/reinforcement-learning-tutorial-python-keras/
activestate.com/blog/2017/05/building-game-ai-using-machine-learning-working-tensorflow-keras-and-intel-mkl-python
pyimagesearch.com/2017/12/18/keras-deep-learning-raspberry-pi/
medium.com/@datamonsters/artificial-neural-networks-for-natural-language-processing-part-1-64ca9ebfa3b2
medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0
github.com/yanpanlau/Keras-FlappyBird
ai.intel.com/demystifying-deep-reinforcement-learning/
github.com/yenchenlin/DeepLearningFlappyBird
medium.freecodecamp.org/an-introduction-to-deep-q-learning-lets-play-doom-54d02d8017d8
youtube.com/watch?v=Aut32pR5PQA => genetic algorithm
stackoverflow.com/questions/44747343/keras-input-explanation-input-shape-units-batch-size-dim-etc
medium.com/the-theory-of-everything/understanding-activation-functions-in-neural-networks-9491262884e0
towardsdatascience.com/activation-functions-and-its-types-which-is-better-a9a5310cc8f
blog.goodaudience.com/artificial-neural-networks-explained-436fcf36e75
becominghuman.ai/building-an-image-classifier-using-deep-learning-in-python-totally-from-a-beginners-perspective-be8dbaf22dd8
youtube.com/watch?v=JcI5Vnw0b2c&index=2&list=PLQVvvaa0QuDfKTOs3Keq_kaG2P55YRn5v
youtube.com/watch?v=wQ8BIBpya2k
youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&index=1
towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6
quora.com/How-do-artificial-neural-networks-work
medium.freecodecamp.org/an-introduction-to-reinforcement-learning-4339519de419
enlight.nyc/projects/neural-network/
appdividend.com/2018/07/23/prepare-dataset-for-machine-learning-in-python/
github.com/SpiderLabs/social_mapper => read its code to build smt like social_mapper with AI but more powerfull than that
theverge.com/2018/8/8/17663640/socialmapper-facial-recognition-open-source-intelligence
thehackernews.com/2018/08/artificial-intelligence-malware.html
thehackernews.com/2018/08/social-mapper-osint.html
github.com/tensorflow/cleverhans
youtube.com/watch?v=fm8MGPKgUPk
youtube.com/watch?v=_U146hWhDhM
youtube.com/watch?v=m2w_FCba8TY&list=PLnNF__MXrUQy7Stv8sc4U7pyjf7oNk0tl
youtube.com/watch?v=XZkiuWOf8TI&list=PLVRZqxcZ5vU9J0Wh4Lsh3mGguZuJm7hKw
youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A/playlists
youtube.com/watch?v=b81Ib_oYbFk
youtube.com/watch?v=F0njE7D22SI
stackoverflow.com/questions/44429742/need-reference-of-opencv-python-for-age-and-gender-detection-on-video-stream
github.com/BoyuanJiang/Age-Gender-Estimate-TF
github.com/dpressel/rude-carnie
gizmodo.com/hackers-have-already-started-to-weaponize-artificial-in-1797688425
aitrends.com/ai-insider/ai-deep-learning-backdoor-security-holes-self-driving-cars-detection-prevention/
theregister.co.uk/2017/12/20/fool_ai_facial_recognition_poison/
forbes.com/sites/ajagrawal/2017/08/01/how-to-use-artificial-intelligence-to-growth-hack-social-engagement/#4cb592f318c9
resources.infosecinstitute.com/criminals-can-exploit-ai/
analyticsvidhya.com/blog/2017/02/6-deep-learning-applications-beginner-python/
oscaralsing.com/automated-tinder-using-artificial-intelligence/
hackernoon.com/what-leading-artificial-intelligence-course-should-you-take-and-what-should-you-do-after-261a933bb3da
motherboard.vice.com/en_us/article/ev8gx4/were-teaming-up-with-the-plug-a-daily-newsletter-on-black-entrepreneurs-in-tech
letzgro.net/blog/creating-ai-using-python/
aibusiness.com/ai-researchers-develop-backdoor-security-threat/
ieeexplore.ieee.org/document/6086325/
wired.com/story/machine-learning-backdoors/
bleepingcomputer.com/news/security/ai-training-algorithms-susceptible-to-backdoors-manipulation/
qz.com/1061560/researchers-built-an-invisible-back-door-to-hack-ais-decisions/
contest-2017.korelogic.com/
medium.com/@curiousily/tensorflow-for-hackers-part-i-basics-2c46bc99c930
medium.com/mindorks/detection-on-android-using-tensorflow-a3f6fe423349
hackernoon.com/finding-the-genre-of-a-song-with-deep-learning-da8f59a61194
mentalhealthdaily.com/2014/04/15/5-types-of-brain-waves-frequencies-gamma-beta-alpha-theta-delta/
hackernoon.com/everything-you-need-to-know-about-neural-networks-8988c3ee4491
cointelegraph.com/news/blockchain-based-artificial-neural-networks-to-save-thousands-of-lives-from-medical-errors
youtube.com/results?search_query=ANN+exploiting+in+python
youtube.com/watch?v=gWfVwnOyG78&list=PLnjEM1fs09cE7SAFuvU1URVgbBgXZnNmF
youtube.com/watch?v=hENZrj0qxqg&list=PLnjEM1fs09cGQvwi-HQGB9hz-v-cWJBv3
youtube.com/watch?v=oxf3o8IbCk4
youtube.com/watch?v=gplTc2F5Wvk
quora.com/Is-it-possible-to-access-the-Internet-without-an-ISP?share=1
quora.com/How-can-you-access-the-internet-without-an-ISP?share=1
abovetopsecret.com/forum/thread1021068/pg1
youtube.com/watch?v=PWLffkqw_yY
medium.com/ethereum-dapp-builder/blockchain-and-how-to-create-a-dapp-daa1a548ff51
hackernoon.com/7-blockchain-web-development-tools-that-will-grow-your-stack-3d854f1cb9bf
medium.com/@reputaction/decentralized-application-dapp-platform-selection-c7790ea74bce
youtube.com/playlist?list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN
youtube.com/playlist?list=PLVBorYCcu-xX3Ppjb_sqBd_Xf6GqagQyl
youtube.com/playlist?list=PLZbbT5o_s2xrwRnXk_yCPtnqqo4_u2YGL
youtube.com/playlist?list=PLQVvvaa0QuDezJFIOU5wDdfy4e9vdnx-7
youtube.com/playlist?list=PLZbbT5o_s2xoWNVdDudn51XM8lOuZ_Njv
youtube.com/playlist?list=PL-XeOa5hMEYz7xMckkUL8w2EKzM3TDrON
youtu.be/6g4O5UOH304
youtu.be/45MbmHQ5iMY
youtu.be/Y1-hQdgftMQ
youtu.be/XNKeayZW4dY
youtu.be/2-Ol7ZB0MmU
youtu.be/umGJ30-15_A
youtu.be/H-HVZJ7kGI0
youtu.be/8HyCNIVRbSU
youtu.be/Vz5l886eptw
youtu.be/yMk_XtIEzH8
youtu.be/nSxaG_Kjw_w
youtu.be/LzaWrmKL1Z4
youtu.be/ELE2_Mftqoc
youtu.be/iMIWee_PXl8
youtu.be/z-EtmaFJieY
youtu.be/VB1ZLvgHlYs
youtu.be/y7qrilE-Zlc
youtu.be/6g4O5UOH304
youtu.be/FmpDIaiMIeA
youtu.be/fv6Qll3laUU
youtu.be/vpc35rBs_Bc
youtu.be/WCUNPb-5EYI
youtu.be/GvQwE2OhL8I
youtu.be/ILsA4nyG7I0
youtu.be/YRhxdVk_sIs
youtu.be/5WPSecXkQ3U
youtu.be/9f-GarcDY58
youtu.be/b2q5OFtxm6A
youtu.be/mWxhsBFatvA
youtu.be/EWmCkVfPnJ8
youtu.be/5B_aWK_MSi0
youtu.be/O5sx1PSG8oU
youtu.be/8v383l45PZs
youtu.be/7aknmJMEXK4
youtu.be/9dFhZFUkzuQ
youtu.be/xtOg44r6dsE
https://tomassetti.me/parsing-in-python/
https://docs.python.org/3/library/typing.html#newtype
https://www.xinjianl.com/blog/tag/pytensor/page/4/
https://blog.keras.io/building-a-simple-keras-deep-learning-rest-api.html
https://medium.com/@d3lm/understand-tensorflow-by-mimicking-its-api-from-scratch-faa55787170d
https://www.codingame.com/playgrounds/9487/deep-learning-from-scratch---theory-and-implementation/computational-graphs
https://medium.com/@whitesell.ben/how-to-build-your-own-deep-learning-framework-its-easy-i-ll-prove-it-c859cb790386
https://www.youtube.com/channel/UC58v9cLitc8VaCjrcKyAbrw/videos
https://www.youtube.com/user/bluboy12345/playlists
https://www.youtube.com/user/shiffman/playlists
https://www.youtube.com/playlist?list=PLiPvV5TNogxKKwvKb1RKwkq2hm7ZvpHz0
https://roberttlange.github.io/posts/2019/08/blog-post-6/
https://towardsdatascience.com/only-numpy-understanding-back-propagation-for-transpose-convolution-in-multi-layer-cnn-with-c0a07d191981
https://towardsdatascience.com/back-propagation-the-easy-way-part-3-cc1de33e8397
https://medium.com/@14prakash/back-propagation-is-very-simple-who-made-it-complicated-97b794c97e5c
https://ai.stackexchange.com/questions/5728/what-is-the-time-complexity-for-training-a-neural-network-using-back-propagation
https://www.quora.com/What-is-meant-by-a-local-optima-problem-in-neural-networks
https://ml-cheatsheet.readthedocs.io/en/latest/backpropagation.htm
https://www.youtube.com/watch?v=i94OvYb6noo&feature=youtu.be&list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC
https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/
https://www.deepideas.net/deep-learning-from-scratch-iv-gradient-descent-and-backpropagation/
https://rubikscode.net/2018/01/22/backpropagation-algorithm-in-artificial-neural-networks/
http://hmkcode.com/ai/backpropagation-step-by-step/
https://www.youtube.com/watch?v=2s3aJfRr9gE
https://towardsdatascience.com/understanding-binary-cross-entropy-log-loss-a-visual-explanation-a3ac6025181a
https://matrices.io/deep-neural-network-from-scratch/
https://towardsdatascience.com/lets-code-a-neural-network-in-plain-numpy-ae7e74410795
https://medium.com/technologymadeeasy/for-dummies-the-introduction-to-neural-networks-we-all-need-c50f6012d5eb
https://medium.com/@jonathan_hui/machine-learning-linear-algebra-a5b1658f0151
https://course.fast.ai/videos/?lesson=8
https://becominghuman.ai/paper-repro-learning-to-learn-by-gradient-descent-by-gradient-descent-6e504cc1c0de
https://victorzhou.com/
https://data-flair.training/blogs/deep-neural-networks-with-python/
https://towardsdatascience.com/how-to-build-a-simple-neural-network-from-scratch-with-python-9f011896d2f3
medium.com/datadriveninvestor/math-neural-network-from-scratch-in-python-d6da9f29ce65
https://www.freecodecamp.org/news/building-a-neural-network-from-scratch/
https://datascience.stackexchange.com/questions/27421/when-are-weights-updated-in-cnn
https://ml-cheatsheet.readthedocs.io/en/latest/forwardpropagation.html#dynamic-resizing
https://towardsdatascience.com/lets-code-a-neural-network-in-plain-numpy-ae7e74410795
https://medium.com/fintechexplained/neural-networks-bias-and-weights-10b53e6285da
https://stackoverflow.com/questions/2480650/role-of-bias-in-neural-networks
https://missinglink.ai/guides/neural-network-concepts/neural-network-bias-bias-neuron-overfitting-underfitting/
https://keras.io/initializers/
https://keras.io/constraints/
https://keras.io/regularizers/
https://victorzhou.com/blog/intro-to-neural-networks/
https://quantdare.com/create-your-own-deep-learning-framework-using-numpy/
https://roberttlange.github.io/posts/2020/03/blog-post-10/
https://colinraffel.com/blog/you-don-t-know-jax.html
https://github.com/google/jax
https://github.com/pytorch/glow
https://towardsdatascience.com/creating-adversarial-examples-with-jax-from-the-scratch-bf267757f672
https://cs231n.github.io/
https://skymind.ai/wiki/neural-network
https://www.deeplearningbook.org/
https://www.youtube.com/watch?v=dPWYUELwIdM
http://neuralnetworksanddeeplearning.com/
https://gluon.mxnet.io/index.html
http://makeyourownneuralnetwork.blogspot.com/
https://medium.com/@curiousily/tensorflow-for-hackers-part-iv-neural-network-from-scratch-1a4f504dfa8
https://github.com/makeyourownneuralnetwork/makeyourownneuralnetwork
https://www.researchgate.net/post/How_can_we_implement_neural_network_algorithm_and_deep_learning
https://www.deepideas.net/deep-learning-from-scratch-theory-and-implementation/
https://towardsdatascience.com/on-implementing-deep-learning-library-from-scratch-in-python-c93c942710a8
https://towardsdatascience.com/machine-learning-for-beginners-an-introduction-to-neural-networks-d49f22d238f9
https://www.cs.bham.ac.uk/~jxb/inn.html
http://www.cs.stir.ac.uk/~lss/NNIntro/InvSlides.html
https://blog.varunajayasiri.com/numpy_lstm.html
https://towardsdatascience.com/animated-rnn-lstm-and-gru-ef124d06cf45
https://medium.com/mlreview/understanding-lstm-and-its-diagrams-37e2f46f1714
https://skymind.ai/wiki/lstm
http://colah.github.io/posts/2015-08-Understanding-LSTMs/
http://wp.firrm.de/index.php/2018/04/13/building-a-lstm-network-completely-from-scratch-no-libraries/
https://mlexplained.com/2019/02/15/building-an-lstm-from-scratch-in-pytorch-lstms-in-depth-part-1/
https://adventuresinmachinelearning.com/recurrent-neural-networks-lstm-tutorial-tensorflow/
https://towardsdatascience.com/the-fall-of-rnn-lstm-2d1594c74ce0
https://hackernoon.com/understanding-architecture-of-lstm-cell-from-scratch-with-code-8da40f0b71f4
https://www.analyticsvidhya.com/blog/2019/01/fundamentals-deep-learning-recurrent-neural-networks-scratch-python/
https://www.kaggle.com/navjindervirdee/lstm-neural-network-from-scratch
https://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/
https://towardsdatascience.com/recurrent-neural-networks-by-example-in-python-ffd204f99470
http://karpathy.github.io/2015/05/21/rnn-effectiveness/
https://github.com/Manik9/LSTMs
https://towardsdatascience.com/the-lstm-reference-card-6163ca98ae87
https://medium.com/technologymadeeasy/the-best-explanation-of-convolutional-neural-networks-on-the-internet-fbb8b1ad5df8
https://medium.com/@RaghavPrabhu/understanding-of-convolutional-neural-network-cnn-deep-learning-99760835f148
https://www.kdnuggets.com/2018/04/building-convolutional-neural-network-numpy-scratch.html
https://towardsdatascience.com/convolutional-neural-networks-from-the-ground-up-c67bb41454e1
https://towardsdatascience.com/training-a-convolutional-neural-network-from-scratch-2235c2a25754
https://wiseodd.github.io/techblog/2016/07/18/convnet-maxpool-layer/
https://missinglink.ai/guides/convolutional-neural-networks/python-convolutional-neural-network-creating-cnn-keras-tensorflow-plain-python/
https://gluon.mxnet.io/chapter04_convolutional-neural-networks/cnn-scratch.html
https://medium.com/deep-learning-g/build-lenet-from-scratch-7bd0c67a151e
https://victorzhou.com/blog/intro-to-cnns-part-1/
https://victorzhou.com/blog/intro-to-cnns-part-2/
https://medium.com/apache-mxnet/transposed-convolutions-explained-with-ms-excel-52d13030c7e8






_______________________________________________________
	whole algorithm design references in my bachelor-master
_______________________________________________________


https://www.quora.com/Is-there-a-python-package-that-calculate-time-complexity
https://stackoverflow.com/questions/27686664/does-the-more-time-a-function-takes-means-its-runtime-complexity-is-larger
https://stackoverflow.com/questions/4915842/difference-between-time-complexity-and-running-time
https://www.quora.com/Why-time-complexity-does-not-return-the-exact-running-time-of-an-algoritm
https://stackoverflow.com/questions/4014621/a-python-class-that-acts-like-dict
https://www.datacamp.com/community/tutorials/fuzzy-string-python
https://towardsdatascience.com/genetic-algorithm-implementation-in-python-5ab67bb124a6
https://stackoverflow.com/questions/21537028/whats-the-difference-between-greedy-and-heuristic-algorithm
https://www.journaldev.com/37089/how-to-compare-two-lists-in-python
https://realpython.com/python-testing/
https://stackoverflow.com/questions/6725868/generics-templates-in-python
https://www.youtube.com/watch?v=09_LlHjoEiY
https://lucumr.pocoo.org/2015/5/27/rust-for-pythonistas/
https://www.youtube.com/howCode
https://www.geeksforgeeks.org/finite-automata-algorithm-for-pattern-searching/
https://stackoverflow.com/questions/2817264/how-to-get-the-parent-dir-location
https://www.tutorialsteacher.com/python/magic-methods-in-python
https://rszalski.github.io/magicmethods/
https://julien.danjou.info/high-performance-in-python-with-zero-copy-and-the-buffer-protocol/
https://corte.si/posts/code/timsort/index.html
https://github.com/jwasham/coding-interview-university
https://coderbook.com/@marcus/how-to-create-a-hash-table-from-scratch-in-python/
https://www.youtube.com/watch?v=Vc5fIuYk3Bw&list=PLRqwX-V7Uu6bePNiZLnglXUp2LXIjlCdb
https://code.tutsplus.com/tutorials/how-to-implement-your-own-data-structure-in-python--cms-28723
https://medium.com/the-andela-way/data-structures-in-python-39629a5ee82d
https://www.youtube.com/watch?v=RBSGKlAvoiM
https://runestone.academy/runestone/books/published/pythonds/Graphs/PrimsSpanningTreeAlgorithm.html
https://www.i-programmer.info/programming/theory/13277-a-programmers-guide-to-theory-np-a-co-np-.html
https://serverascode.com/2015/08/23/bin-packing-python.html
http://knuth.luther.edu/~leekent/CS2Plus/chap12/chap12.html
https://medium.com/@rinu.gour123/heuristic-search-in-artificial-intelligence-python-3087ecfece4d
https://github.com/sol-prog/N-Queens-Puzzle
http://scottlobdell.me/2013/08/understanding-python-variables-as-pointers/
https://realpython.com/pointers-in-python/
https://russelljjadams.wordpress.com/tag/a-star-search/
https://hackernoon.com/recursion-vs-looping-in-python-9261442f70a5
https://realpython.com/python-thinking-recursively/
https://github.com/edorado93/Save-The-Queens/tree/master
https://www.freecodecamp.org/news/lets-backtrack-and-save-some-queens-1f9ef6af5415/
https://medium.com/@claireli_ultron/applicable-uses-of-the-xor-operator-3e0fcc9bf9cb
https://www.sanfoundry.com/python-program-solve-n-queen-problem-without-recursion/
https://helloacm.com/n-queen-problem-in-back-tracing-bit-logics/
https://www.abc.net.au/news/science/2018-01-20/how-prime-numbers-rsa-encryption-works/9338876
https://stackoverflow.com/questions/439870/why-are-primes-important-in-cryptography
https://realpython.com/primer-on-python-decorators/
https://towardsdatascience.com/evolution-of-a-salesman-a-complete-genetic-algorithm-tutorial-for-python-6fe5d2b3ca35
https://ericphanson.com/blog/2016/the-traveling-salesman-and-10-lines-of-python/
https://github.com/topics/travelling-salesman-problem?l=python
https://medium.com/coderbyte/the-10-best-coding-challenge-websites-for-2018-12b57645b654
https://www.sanfoundry.com/python-program-find-undirected-graph-contains-cycle-using-dfs/
https://algs4.cs.princeton.edu/42digraph/
https://refactoring.guru/design-patterns/python
https://github.com/harishvc/challenges
https://quera.ir/problemset/contest
https://www.codewars.com/dashboard
https://www.quora.com/Is-programming-science-or-art
https://github.com/rohanp/travelingSalesman
https://brilliant.org/daily-problems/
https://youtu.be/5o-kdjv7FD0
https://youtu.be/B4DNX2_E69w
https://www.sciencedaily.com/releases/2019/04/190401171343.htm
http://rosettacode.org/wiki/Rosetta_Code
https://stackabuse.com/python-async-await-tutorial/
https://stackoverflow.com/questions/2307283/what-does-olog-n-mean-exactly
https://stackoverflow.com/questions/6133574/how-to-articulate-the-difference-between-asynchronous-and-parallel-programming
https://snarky.ca/how-the-heck-does-async-await-work-in-python-3-5/
https://docs.python.org/3/library/asyncio-task.html
https://www.blog.pythonlibrary.org/2014/02/14/python-101-how-to-change-a-dict-into-a-class/
https://www.geeksforgeeks.org/merge-sort/
https://www.youtube.com/watch?v=hnjX858YhFk
https://rhettinger.wordpress.com/2011/05/26/super-considered-super/
https://github.com/joeyajames/Python
https://github.com/mnahinkhan/Chess
https://docs.python.org/3/library/inspect.html
https://github.com/codebox/algorithms
https://youtu.be/8iGzBMboA0I
https://scrapy.org/
https://www.geeksforgeeks.org/searching-algorithms/
https://www.geeksforgeeks.org/fundamentals-of-algorithms/
https://en.wikipedia.org/wiki/Complexity_theory_and_organizations
https://www.geeksforgeeks.org/anagram-checking-python-collections-counter/
https://www.geeksforgeeks.org/bitwise-algorithms/
https://www.youtube.com/watch?v=0IAPZzGSbME&list=PLDN4rrl48XKpZkf03iYFl-O29szjTrs_O
https://www.youtube.com/watch?v=e2cF8a5aAhE
https://motherboard.vice.com/en_us/article/gy7994/an-amoeba-based-computer-calculated-approximate-solutions-to-a-very-hard-math-problem
https://www.techrepublic.com/article/from-compile-time-constants-to-runtime-constants-and-back/
https://medium.com/the-renaissance-developer/learning-tree-data-structure-27c6bb363051
https://docs.python.org/3/library/collections.html#collections.namedtuple
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https://www.youtube.com/playlist?list=PLiHa1s-EL3vjr0Z02ihr6Lcu4Q0rnRvjm
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https://stackoverflow.com/questions/61632584/understanding-input-shape-to-pytorch-lstm        
https://github.com/wcneill/jn-ml-textbook/blob/master/Deep%20Learning/04%20Recurrent%20Networks/pytorch13b_LSTM.ipynb        
https://towardsdatascience.com/system-failure-prediction-using-log-analysis-8eab84d56d1
https://www.kaggle.com/taronzakaryan/stock-prediction-lstm-using-pytorch
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https://towardsdatascience.com/introducing-pytorch-forecasting-64de99b9ef46
https://medium.com/@brentbiseda/bitcoin-price-prediction-with-a-rnn-lstm-and-sentiment-analysis-6bc323fa38f9
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https://www.curiousily.com/posts/time-series-forecasting-with-lstm-for-daily-coronavirus-cases/
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