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Neural Network Frameworks

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  • Overview
  • AI
  • Contribute by translating lessons
  • For Educators
  • How to Run the Code
  • Getting Started with this Curricula
  • Game Jam
  • Introduction to AI
  • Build an Ontology
  • Knowledge Representation and Expert Systems
  • Multi-Class Classification with Perceptron
  • Introduction to Neural Networks: Perceptron
  • MNIST Classification with Our Own Framework
  • Introduction to Neural Networks. Multi-Layered Perceptron
  • Classification with PyTorch/TensorFlow
  • Neural Network Frameworks
  • Introduction to Neural Networks
  • Detecting Movements using Optical Flow
  • Introduction to Computer Vision
  • Well-Known CNN Architectures
  • Classification of Pets Faces
  • Convolutional Neural Networks
  • Classification of Oxford Pets using Transfer Learning
  • Pre-trained Networks and Transfer Learning
  • Deep Learning Training Tricks
  • Autoencoders
  • Generative Adversarial Networks
  • Head Detection using Hollywood Heads Dataset
  • Object Detection
  • Human Body Segmentation
  • Segmentation
  • Computer Vision
  • Assignment: Notebooks
  • Representing Text as Tensors
  • Assignment: Notebooks
  • Embeddings
  • Training Skip-Gram Model
  • Language Modeling
  • Assignment: Notebooks
  • Recurrent Neural Networks
  • Word-level Text Generation using RNNs
  • Generative networks
  • Assignment: Transformers
  • Attention Mechanisms and Transformers
  • NER
  • Named Entity Recognition
  • Pre-Trained Large Language Models
  • Natural Language Processing
  • Genetic Algorithms
  • Training Mountain Car to Escape
  • Deep Reinforcement Learning
  • NetLogo Assignment
  • Multi-Agent Systems
  • Ethical and Responsible AI
  • Multi-Modal Networks
  • Artificial Intelligence for Beginners - A Curriculum
  • Security
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