alexander-rakhlin

#!/usr/bin/env bash

# checck if pidof exists
PIDOF="$(which pidof)"
# and if not - install it
(test "${PIDOF}" && test -f "${PIDOF}") || brew install pidof

# find app in default paths
CO_PWD=~/Applications/CrossOver.app/Contents/MacOS
test -d "${CO_PWD}" || CO_PWD=/Applications/CrossOver.app/Contents/MacOS

alexander-rakhlin

Code for Keras plays catch blog post

Train

python qlearn.py

Test

1. Generate figures

alexander-rakhlin

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman