awjuliani / Tf Tutorials
A collection of deep learning tutorials using Tensorflow and Python
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#Tensorflow Tutorials This repository contains a collection of miscellaneous Jupyter notebooks which implement or provide a tutorial on a different Deep Learning topic. All models are implemented in Tesnorflow.
- DCGAN - An implementation of Deep Convolutional Generative Adversarial Network.
- InfoGAN An implementation of InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets
- Deep Layer Visualization - Tutorial on visualizing intermediate layer activation during MNIST classification.
- Deep Network Comparison - Implementations of ResNet, HighwayNet, and DenseNet, for CIFAR10 classification.
- RNN-TF - Tutorial on implementing basic RNN in tensorflow.
- t-SNE Tutorial - Tutorial on using t-SNE to visualize intermediate layer representation during MNIST classification task.
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