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nn-uam-23's Introduction

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Repository for introduction to neural networks course at UAM 2023

Implementation tasks

  • Neuron model McCullocha-Pittsa for logic gates

  • Deep neural network for logic gates with sigmoid activation

  • Gradient descent algorithm from scratch for finding a minimum of two polynomial functions

  • Gradient descent with PyTorch for finding a minimum of two polynomial functions

  • Backpropagation with gradien descent for finding XOR values

  • Backpropagation with stochastic gradien descent for finding XOR values

  • Autoencoder for 3x3 black and white images with GD and BP

  • Convolution and pooling from scratch for 5x5 black and white images

  • Hopfield network

  • Boltzmann machine

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