Enhancement: Complete AlexNet Architecture with Additional Convolutional Layers (Issue 64) #112
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…o align with standard model design.
…d align with AlexNet's deeper structure.
…e output shape of the added conv5 layer.
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This pull request enhances the
alexnet.ipynbnotebook by aligning its architecture with the standard AlexNet model. The following changes have been made:conv4andconv5layers to extend the convolutional section, including pooling, normalization, and dropout for each.weightsandbiasesdictionaries to include parameters for the new layers.conv5layer.