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Neural Networks
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Classroom Contents
Classification in Computer Vision - Part II - Lecture 19
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- 1 Intro
- 2 SV Classifier
- 3 Nonlinear SVMS
- 4 SVMS: Pros and cons
- 5 The machine learning framework
- 6 Features
- 7 Neural Networks
- 8 Fully convolutional network
- 9 Converting FC into conv
- 10 Activation Functions
- 11 Binary classification
- 12 Softmax activation
- 13 Multi-label
- 14 Loss Function
- 15 Train with Gradient Descent
- 16 Optimization
- 17 Network training
- 18 UCF Visualizing Convolution
