#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.