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Enhancement: Complete AlexNet Architecture with Additional Convolutional Layers (Issue 64)#112

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Enhancement: Complete AlexNet Architecture with Additional Convolutional Layers (Issue 64)#112
T-Ezzoury wants to merge 4 commits intodonnemartin:masterfrom
T-Ezzoury:master

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This pull request enhances the alexnet.ipynb notebook by aligning its architecture with the standard AlexNet model. The following changes have been made:

  • Added conv4 and conv5 layers to extend the convolutional section, including pooling, normalization, and dropout for each.
  • Updated the weights and biases dictionaries to include parameters for the new layers.
  • Adjusted the input to the fully connected layers to match the output of the added conv5 layer.

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