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Intro
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Classroom Contents
Deep Learning for Vision: Tricks of the Trade
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- 1 Intro
- 2 Ideal Features
- 3 The Manifold of Natural Images
- 4 Ideal Feature Extraction
- 5 Learning Non-Linear Features
- 6 Linear Combination prediction of class
- 7 A Potential Problem with Deep Learning
- 8 Deep Learning in Practice
- 9 KEY IDEAS: WHY DEEP LEARNING
- 10 Buzz Words
- 11 (My) Definition
- 12 ConvNets: today
- 13 Deep Gated MRF
- 14 Sampling High-Resolution Images
- 15 Sampling After Training on Face Images
- 16 Cons
- 17 CONV NETS: TYPICAL ARCHITECTURE
- 18 CONV NETS: EXAMPLES
- 19 CHOOSING THE ARCHITECTURE
- 20 HOW TO OPTIMIZE
- 21 HOW TO IMPROVE GENERALIZATION
- 22 OTHER THINGS GOOD TO KNOW
- 23 WHAT IF IT DOES NOT WORK?
