Python: Real World Machine Learning

GPU Computing

If you have a CUDA compatible graphics card installed, you can utilize your GPU for this CNN example by placing the following piece of code on top of your IDE:

import os
os.environ['THEANO_FLAGS'] = 'device=gpu0, assert_no_cpu_op=raise, on_unused_input=ignore, floatX=float32'

We do recommend however to first try this example on your regular CPU.

Let's first import and prepare the data.

We use a 32 x 32 input size considering this is the actual size of the image:

from keras.datasets import cifar10 from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from keras.layers.core import Dense, Dropout, Activation, Flatten from keras.layers.convolutional import Convolution2D, MaxPooling2D from keras.optimizers ...