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5.9 KiB
5.9 KiB
AI
Introduction to AI
- AI Definition
- History of AI
- Approaches to AI
- Top-down/Symbolic
- Bottom-up/Neural
- Evolutionary
- Synergetic / Emergent AI
- Microsoft AI Business School
Symbolic AI
- Knowledge Representation
- Expert Systems
- Ontologies
- Semantic Web
Neural Networks
Computer Vision
- On MS Learn
- Intro to CV. OpenCV
- Convolutional Networks
- Trasnsfer Learning
- Autoencoders and VAEs
- Generative Adversarial Networks
- Style Transfer
- Object Detection
- Segmentation
Natural Language Processing
- On MS Learn
- Text Representation
- Bag of Words
- TF/IDF
- Semantic Embeddings
- Word2Vec
- GloVE
- Language Modeling
- Recurrent Neural Networks
- LSTM
- GRU
- Generative Recurrent Networks
- Transformers and BERT
- Named Entity Recognition
- Text Generation and GPT
Other Techniques
AI Ethics
Extras
- Multimodal Networks
- CLIP
- DALL-E
- VQ-GAN