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Mini-batch, Momentum
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Classroom Contents
Tutorial on Deep Learning I
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- 1 Intro
- 2 Mining for Structure
- 3 Impact of Deep Learning
- 4 Deep Generative Model
- 5 Example: Understanding Images
- 6 Caption Generation
- 7 Talk Roadmap
- 8 Learning Feature Representations
- 9 Traditional Approaches
- 10 Computer Vision Features
- 11 Audio Features
- 12 Neural Networks Online Course
- 13 Feedforward Neural Networks
- 14 Artificial Neuron
- 15 Activation Function
- 16 Single Hidden Layer Neural Net
- 17 Multilayer Neural Net
- 18 Capacity of Neural Nets
- 19 Universal Approximation
- 20 Stochastic Gradient Descend
- 21 Computational Flow Graph
- 22 Model Selection
- 23 Early Stopping
- 24 Mini-batch, Momentum
- 25 Local vs. Distributed Representations
- 26 Inspiration from Visual Cortex
- 27 Why Training is Hard
- 28 Unsupervised Pre-training
- 29 Fine-tuning
- 30 Dropout at Test Time
- 31 Batch Normalization
- 32 Optimization Tricks
- 33 Visualization
