Keras-Tutorials
March 15, 2017 ยท View on GitHub
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