tutorial

This is a tutorial for deep learning with keras.

Requirement

• keras = 2.1.3
• python = 3.6.1

Contents are following.

1. Multi Layer Perceptron (MLP)

2. Convolutional Neural Network (CNN)

2.1. Basic CNN

2.2. Inception / Residual

3. Recurrent Neural Network (RNN)

3.1. Basic RNN

3.2. Text Classification

4. Auto-encoder (AE)

4.1. Basic AE

4.2. Denoising AE

4.3. Variational AE (VAE)

5. Generative Adversarial Network (GAN)

5.1. Basic GAN

5.2. Deep Convolutional GAN

5.3. Least-squares GAN

5.4. Wasserstein-GAN

6. Pre-trained models