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Convolutional Network
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Classroom Contents
Writing a Neural Net from Scratch
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- 1 Introduction
- 2 Traditional Programming
- 3 Why not use a library
- 4 Training to neural networks
- 5 Perceptron
- 6 State
- 7 Transient State
- 8 NAND Gate
- 9 Basic NAND Gate
- 10 Logistic Sigmoid
- 11 Runoff
- 12 Error
- 13 Loss
- 14 Minimize
- 15 Gradient Descent
- 16 Summary
- 17 Neural Network Architecture
- 18 Convolutional Network
- 19 Optimal Learning Rate
