CSCI 4052U
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Multimodal
Multimodality
Background
Background to Machine Learning
☑ Functional Modeling
☑ Linear Algebra and Calculus
☑ Probability
Neural Networks
Neural Networks
☑ From MLP to Convolutional Networks
☑ More Layers
Vision
Computer Vision
☑ Image classification
☑ Object Detection
☑ YOLO-v1 and Image Segmentation
Language
NLP
☑ Attention Mechanism
☑ Language models and transformers
☑ Word Embedding and BERT
Multimodal
Multimodality
☑ CLIP models
☑ Diffusion
Reinforcement Learning
☑ Reinforcement Learning
☑ Basics of Reinforcement Learning
☑ Deep-Q Learning Networks
👉 Policy Optimization
☐ Application of RL to LLM
Multimodality
Author
Ken Pu
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Author
☑ CLIP models
Ken Pu
☑ Diffusion
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