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Published 20 hours ago • verified publisher icon donnemartin

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

Open T-Ezzoury opened this issue 11 months ago • 0 comments

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.

T-Ezzoury avatar Nov 15 '24 09:11 T-Ezzoury