Note: Note: not tested on the full test set; so only useful for pedagogical purposes. Proceed with caution.
Homepage: http://www.cs.toronto.edu/~guerzhoy/tf_alexnet/
With newer versions of TensorFlow, use myalexnet_forward_newtf.py.
With older versions, use myalexnet_forward.py
bvlc_alexnet.py and bvlc_alexnet.npy are generated using https://github.com/ethereon/caffe-tensorflow by converting the AlexNet weights/model from here: https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet
myalexnet is the implementation of AlexNet in TensorFlow
Weights are available here: http://www.cs.toronto.edu/~guerzhoy/tf_alexnet/bvlc_alexnet.npy
Try myalexnet_forward.py for a version with a placeholder as the input (useful for training). Otherwise see myalexnet.py