CIFAR-10 example for DAU-ConvNet

Example for using DAU-ConvNet with simple three layer architecture on CIFAR-10 dataset. Based on original TensorFlow CIFAR-10 tutorial. Modified only network architecture in cifar10.py inference() method.

You need to have DAU-ConvNet TensorFlow plugin compiled, installed and available in python system path.

Original README

NOTE: For users interested in multi-GPU, we recommend looking at the newer cifar10_estimator example instead.

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CIFAR-10 is a common benchmark in machine learning for image recognition.

http://www.cs.toronto.edu/~kriz/cifar.html

Code in this directory demonstrates how to use TensorFlow to train and evaluate a convolutional neural network (CNN) on both CPU and GPU. We also demonstrate how to train a CNN over multiple GPUs.

Detailed instructions on how to get started available at:

http://tensorflow.org/tutorials/deep_cnn/