밑바닥부터 시작하는 딥러닝 1, 2를 읽고 내용을 정리
- Content: Perceptron
- Code: perceptron.py
- Example: Notebook
- Code: activation.py
- Example: Notebook
- Code: loss.py, differentiation.py
- Example: Notebook
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Code: AddLayer.py, MulLayer.py, Relu.py, Sigmoid.py, Affine.py, SoftmaxWithLoss.py
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Example: Notebook
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Content: Backpropagation
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Code: backpropagation.py
- Content: Deep Learning
- Example: Notebook
conda create -n deep python=3.8
conda activate deep
conda install -c anaconda numpy
conda install -c conda-forge jupyterlab
jupyter lab
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Japan: Deep Learning from Scratch
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Korea: 밑바닥부터 시작하는 딥러닝
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Blog:
Stanford: CS231N