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goodfellow
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Lecture Slides and Programming Exercises that may help study the deep learning book by Goodfellow, Bengio and Courville.
machine-learning
deep-learning
neural-network
linear-algebra
handbook
recurrent-neural-networks
regularization
convolutional-neural-networks
exercises
lecture-notes
lecture-slides
numerical-computations
goodfellow
multi-layer-perceptrons
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Apr 28, 2022 - Jupyter Notebook
Simple GAN model for Keras
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May 30, 2017 - Jupyter Notebook
code implementations from book deep learning by goodfellow
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May 22, 2020
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Feb 22, 2019 - Python
I cover the relevant chapters on Deep Learning (6-9). Also I omit a lot of "basic" things.
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Mar 21, 2022 - TeX
Machine Learning Basics in C++
c-plus-plus
neural-network
machine-learning-algorithms
nielsen
mnist-dataset
source-code
backpropagation
stochastic-gradient-descent
goodfellow
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Dec 12, 2018 - C++
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