Data analytics
- Introduction to Deep Learning
- Artificial Neural Networks
- Convolutional Neural Networks (CNN)
•Deep Computer Vision Using Convolutional Neural Networks
•Object Detection
•Semantic Segmentation
- 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
•TF-Agents Library