Keras-Tutorials

Introduction to deep learning based on Keras framework. These tutorials are direct ports of nlintz's TensorFlow Tutorials.

Basic Topics (from nlint'z github)

• Linear Regression (code, notebook)
• Logistic Regression (code, notebook)
• Feedforward Neural Network (Multilayer Perceptron) (code, notebook)
• Deep Feedforward Neural Network (Multilayer Perceptron with 2 Hidden Layers O.o) (code, notebook)
• Convolutional Neural Network (code, notebook)
• Denoising Autoencoder (code, notebook)
• Recurrent Neural Network (LSTM) (code, notebook)
• Word2vec
• TensorBoard (code, notebook)
• Save and restore net (code, notebook)

Advanced Topics

• Image classification
• Object detection
• Super-Resolution
• Image captioning
• Semantic segmentation

Note

• Deep Learning Glossary (for Korean) : This documentation is translated from blog post on wildml.com (with author's permission)

Dependencies

• Keras v1.2.1
• TensorFlow v0.12