AI-For-Beginners/translations/en/etc/Mindmap.md

AI

Introduction to AI

• What is AI
• The history of AI
• Different approaches to AI
  • Top-down/Symbolic
  • Bottom-up/Neural
  • Evolutionary
  • Synergetic / Emergent AI
• Microsoft AI Business School

Symbolic AI

• Representing knowledge
• Expert Systems
• Ontologies
• The Semantic Web

Neural Networks

• Perceptron
• Multi-Layered Networks
• Introduction to Frameworks
  • PyTorch
  • TensorFlow
  • Overfitting

Computer Vision

• On MS Learn
  • AI Fundamentals: Explore Computer Vision
  • Computer Vision with PyTorch
  • Computer Vision with TensorFlow
• Introduction to Computer Vision. OpenCV
• Convolutional Networks
  • CNN Architectures
• Transfer Learning
  • Training Tips
• Autoencoders and VAEs
• Generative Adversarial Networks
• Style Transfer
• Object Detection
• Segmentation

Natural Language Processing

• On MS Learn
  • AI Fundamentals: Explore NLP
  • NLP with PyTorch
  • NLP with TensorFlow
• 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

• Genetic Algorithms
• Deep Reinforcement Learning
• Multi-Agent Systems

AI Ethics

• MS Learn on Responsible AI

Extras

• Multimodal Networks
  • CLIP
  • DALL-E
  • VQ-GAN

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Disclaimer:
This document has been translated using the AI translation service Co-op Translator. While we aim for accuracy, please note that automated translations may include errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is advised. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation.