Collection of codes of random topics in Data Science, in Python
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Autoencoders.ipynb - to be used with Applied Deep Learning - Part 3, Arden Dertat.
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Deep inside - Autoencoders.ipynb - to be used with Deep inside: Autoencoders, Nathan Hubens.
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Autoencoders_quick and dirty.ipynb - to be used with Autoencoders - Deep learning bits #1, Julien Despois.
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Simple Autoencoder_MNIST.ipynb - to be used with Denoising Autoencoder: Part I, Dawid Kopczyk
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Denoising Autoencoder_MNIST.ipynb - to be used with Denoising Autoencoder: Part II, Dawid Kopczyk
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DAE_RepLearning.ipynb - to be used with Denoising Autoencoder: Part III, Dawid Kopczyk
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Continuous Numeric Data_DJ Sarkar.ipynb - to be used with Continuous Numeric Data, Dipanjan Sarkar
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Categorical Data_DJ Sarkar.ipynb - to be used with Categorical Data, Dipanjan Sarkar