Description

1. (40 points) Implement convolutional neural network layers. Complete the CNNLayers.ipynb Jupyter notebook. Print out the entire workbook and relevant code and submit it as a pdf to gradescope. Download the CIFAR-10 dataset, as you did in earlier homework.
2. (20 points) Implement spatial normalization for CNNs. Complete the CNN-BatchNorm.ipynb Jupyter notebook. Print out the entire workbook and relevant code and submit it as a pdf to gradescope.
3. (40 points) Optimize your CNN for CIFAR-10. Complete the CNN.ipynb Jupyter notebook. Print out the entire workbook and relevant code and submit it as a pdf to gradescope.
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