This repository is created for DAVIAN TensorFlow study.

• Introduction to MNIST dataset - Download and visualize MNIST dataset
• TensorFlow basic - Session / Constants / Variables / Sharing variables / Placeholder
• Feed forward neural network - Neural network for MNIST dataset classification

• Convolutional Neural Network - Convnet for MNIST dataset classification
• Save and Restore Model - Save and restore tensor variables
• Recurrent Neural Network - LSTM RNN for MNIST dataset classification

• TensorBoard - Tensorboard for visualizing the model and real-time debugging
• Sequence to Sequence Learning - Neural machine translation with attention mechanism (English to Korean)

• Deep Convolutional Generative Adverserial Network - DCGAN for unsupervised image generation

• TensorBoard Embedding Visualization - Neural network hidden layer embedding and visualization (TSNE/PCA)