Author: Shyamal Suhana Chandra Date Started: June 17, 2017
Purpose: To provide the latest and greatest models of deep learning with clear syntax, documentation, and comments in the code for quick usage.
Time expected to completion: T.B.D.
- Phase 0 - Define a design specification for the C/C++17 interfaces based on UML and Design Patterns.
- Phase 1 - Create a diagram of the whole architecture
- Phase 2 - Implement the skeleton of the architecture along with the pub/sub architecture like ROS.
- Phase 3 - Agile process with different deep neural networks like Convolutional Networks, Recurrent NN's, GRU's, and LSTM's.
- Phase 4 - Agile process with different SOTA networks like GANs, VAEs, DQN, DeepRL, AlphaGo (w/ MCTS), and DNC's.