Code for SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning (ICLR 2021)
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May 5, 2024 - Python
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backprop
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Using only numpy in Python, a neural network with a forward and backward method is used to classify given points (x1, x2) to a color of red or blue.
python machine-learning ai neural-network machine-learning-algorithms backpropagation-learning-algorithm backpropagation backpropagation-algorithm backprop backpropagation-neural-network
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Jan 30, 2022 - Python
I have designed these neural networks to revise the mathematics involved in their training, I have derived by hand all of the backprop and learning equations. These neural networks may not be the most efficient but, efficiency was not the aim here. The aim here was understanding. The various networks contained include a Rosenblatt Perceptron, a …
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Apr 6, 2017 - Python
The classic Kaggle Titanic data science challenge
classifier science data numpy random sklearn forest pandas kaggle layer classification learn mlp perceptron titanic multi backpropagation scikit backprop
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Aug 5, 2017 - Python
Numpy neural network classifying japanese characters. Weights animations along the way.
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Apr 14, 2021 - Python
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