Author:
I am Álvaro Orgaz Expósito, a data science student at KTH (Stockholm, Sweden) and a statistician from UPC-UB (Barcelona, Spain).
Abstract:
This repository contains the assignments (code + report) of the ANN and Deep Architectures course in my master's degree in Data Science at KTH (Stockholm, Sweden).
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Assignment 1: Learning and generalisation in feed-forward networks from perceptron learning to backpropagation.
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Assignment 2: Radial basis functions (RBF), competitive learning and self-organised maps (SOM).
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Assignment 3: Hopfield networks.
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Assignment 4: Deep neural network architectures with autoencoders using Keras (applied to MNIST images dataset).
Code:
The project has been developed in Python using Jupyter Notebook.