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Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

License: MIT License

Jupyter Notebook 100.00%
neural-network pruning optimal-brain-damage generative-adversarial-network generative-model uncertainty-neural-networks

neuralnetworks.thought-experiments's Introduction

neuralnetworks.thought-experiments

A repo of observations and notes to understand the workings of neural network models and other simple thought experiments using Tensorflow.

  • Activations - Notes on activation functions with experimental results to compare models on MNIST and CIFAR10
  • Generative Models - Observations on generative machine learning and results using Auto Encoders, VAEs and GANs
  • Model Pruning - Results on doing pruning in neural networks. (mainly OBD as of now.)

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neuralnetworks.thought-experiments's Issues

Optimal Brain Damage

Hello! I am very interested in the work of "Optimal Brain Damage" in "Model Pruning". But I didn't understand the code. How do I use the OBD algorithm to complete model pruning?

Disappeared images in GAN notes

Hi there!

Thanks for your great notes about the difficulty of training GANs. I see that some of the images in your notes are missing. I think the images are from the examples of changing a dimension in the latent z space. Can you please fix it when you have time?

Thanks

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