alexnet.ipynb contains incomplete architecture of alexnet(2 cnn layers missing)

Alexnet implementation in tensorflow has incomplete architecture where 2 convolution neural layers are missing. This issue is in reference to the python notebook mentioned below.

https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb

Open deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb and inspect the AlexNet implementation. Run the notebook to understand its current behavior and compare the architecture with the issue’s stated expectation of two additional convolutional layers. Done means the notebook contains the complete architecture and runs successfully.

Written by the indexing model from the issue text.