deep

Summary of the 'Deep Learning from Scratch' series

Contents

Book 1

Perceptron

• Content: Perceptron
• Code: perceptron.py
• Example: Notebook

Neural Network

• Code: activation.py
• Example: Notebook

Neural Network Learn

• Code: loss.py, differentiation.py
• Example: Notebook

Backpropagation

• Code: AddLayer.py, MulLayer.py, Relu.py, Sigmoid.py, Affine.py, SoftmaxWithLoss.py
• Example: Notebook
• Content: Backpropagation
• Code: backpropagation.py

Deep Learning

• Content: Deep Learning
• Example: Notebook

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Tools

• Python with pyenv, jupyter

jupyter lab

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References

• Japan: Deep Learning from Scratch
• Korea: 밑바닥부터 시작하는 딥러닝
• Blog:
  • 밑바닥부터 시작하는 딥러닝 정리 - 1
  • 밑바닥부터 시작하는 딥러닝 정리 - 2

Lectures

• Stanford: CS231N