A brief and illustrative example how convolutional neural networks (CNNs) work (Caffe implementation):
Two simple image categories (X and O images)

The example is inspired by Brandon Rohrer's 'Data Science and Robots' blog.

Please visit the following web pages for more details http://www.optophysiology.uni-freiburg.de/Research/research_DL/CNNsWithMatlabAndCaffe http://brohrer.github.io/how_convolutional_neural_networks_work.html

Dr. Alexander Hanuschkin 2016, 2017

0. check for GPU nvidia-smi

1. train the network ~/caffe_FAST/build/tools/caffe train --solver=ANet_3conv_solver.prototxt --gpu 0

2. test the network performance ~/caffe_FAST/build/tools/caffe test --model=ANet_3conv.prototxt --weights=ANet_3conv_1strun_snapshot_iter_5000.caffemodel --gpu 0 --iterations 10

3. run a Python script to pass single images to the trained network python ClassifySingleImagesWithPython.py