Interactive Deep Learning Visualizations
Explore 900+ interactive visualizations from Andrew Glassner's comprehensive guide to deep learning
23
Chapters
900+
Visualizations
111
Hours of Content
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Interactive Features
Featured Visualizations
Neural Network Playground
Build and train neural networks interactively
3D Gradient Descent
Visualize optimization in 3D loss landscapes
CNN Feature Explorer
See how CNNs process images layer by layer
Attention Mechanism
Understand transformer attention patterns
Choose Your Learning Path
๐ฑ Beginner Path
Start with fundamentals of ML and neural networks
- Basic statistics and probability
- Introduction to neurons
- Simple neural networks
- Training basics
๐ Intermediate Path
Dive into deep learning architectures
- Backpropagation mechanics
- CNNs and computer vision
- RNNs and sequences
- Optimization techniques
โก Advanced Path
Master cutting-edge techniques
- Attention and transformers
- GANs and generation
- Reinforcement learning
- Creative applications
Chapter 1: Introduction to Deep Learning
What is Deep Learning?
Deep Learning is a subset of Machine Learning, which is itself a subset of Artificial Intelligence. This interactive Venn diagram shows the relationship between these fields.
Timeline of Deep Learning
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Applications of Deep Learning
Chapter 2: Essential Background
Vectors and Matrices
Matrix Operations
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Derivatives and Gradients
Chapter 3: Probability
Chapter 4: Bayes' Rule
Chapter 5: Curves and Surfaces
Chapter 6: Information Theory
Chapter 7: Classification
Chapter 8: Training and Testing
Chapter 9: Overfitting and Underfitting
Chapter 10: Data Preparation
Chapter 11: Classifiers
Chapter 12: Ensembles
Chapter 13: Neural Networks
Chapter 14: Backpropagation
Chapter 15: Optimizers
Chapter 16: Convolutional Neural Networks
Chapter 17: Convolution Details
Chapter 18: CNN Architectures
Chapter 19: Recurrent Neural Networks
Chapter 20: Attention & Transformers
Chapter 21: Reinforcement Learning
Chapter 22: Generative Adversarial Networks
Chapter 23: Creative Applications
Neural Network Playground
Build, train, and visualize neural networks in real-time
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