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)