This repo is for my own educational purpose.
Statistics, Data Science, Deep Learning and Reinforcement Learning.
Notebooks:
- [Draft] GRU and LSTM : Simple implementation of GRU and LSTM layers
- [Draft] RNN - Sine Wave. Experimenting with RNN, trying to get the intuition/feeling.
- [Draft] Bayes by backprop. Blundell C. et al. Weight Uncertainty in Neural Networks (arXiv)
Notebooks:
- [Draft] Reinforcement learning - SARSA, epsilon-greedy policy and UCB strategies (UCL Course on RL)