DeepLearning Implementations

Contains codes for training various neural network architectures. The repository will be updated from time to time.

Table of Contents

1. Pure Tensorflow
2. Keras
3. Dependencies
4. How to Use
5. Future Work

Pure Tensorflow

• Feed Forward Neural Network (FNN)

• Convolutional Neural Network (CNN)

• Word Vector Model (CBOW/SKIPGRAM)

• Long Term Short Term Memory Network (LSTM)

• Multi-Task Learning Network(alternate back-propagation)

Keras

Coming Soon

Dependencies

1. Python3, samples codes uses many of the Python3 features.
2. Numpy, only needed in sample codes.
3. Tensorflow, tested with Tensorflow 1.4.
4. Keras
5. Jupyter Notebook

How to Use

The Jupyter Notebooks are self explanatory

Future Work

• Generative Adversarial Networks https://arxiv.org/abs/1406.2661