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Introduction to Convolutional Neural Networks - Part 1 - Lecture 6
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- 1 Intro
- 2 A quote from a famous scientist...
- 3 CNN - example: depth estimation
- 4 Convolutional Neural Network (CNN)
- 5 History
- 6 First Strong Results
- 7 Today: CNNs are everywhere
- 8 CNN - Not just images
- 9 General CNN architecture
- 10 Filtering - recap
- 11 Correlation (linear relationship) - recap
- 12 Convolution -recap
- 13 Learning phases
- 14 Neural Network vs CNN
- 15 Convolution layer
- 16 Convolutional Network
- 17 Parameters
- 18 Convolution Operation
- 19 Sobel Edge Detector -recap
- 20 Demo
- 21 Convolution - Intuition
- 22 2D Convolution - dimensions
- 23 Stride
- 24 Padding
- 25 Pooling
- 26 Visualizing CNN
