Neural Networks and Deep Learning
- Introduction to Deep Learning
- Artificial Neural Networks
- Convolutional Neural Networks (CNN) • Deep Computer Vision Using Convolutional Neural Networks
- LSTM, GRU and Recurrent Neural Networks • Forecasting a Time Series • Natural Language Processing with RNNs • Sentiment Analysis •
Encoder-Decoder Network for Neural Machine Translation • Attention Mechanisms • The Transformer Architecture
- variational auto encoders
- Generative Adversarial Networks • StyleGANs
- Reinforcement Learning • Policy Gradients • Temporal Difference Learning • Q-Learning • Double DQN • Prioritized Experience Replay • Dueling DQN