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
- Recurrent Neural Network (LSTM)
- Word2vec
- TensorBoard
- Save and restore net
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
- TensorFlow