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