Keras Deep Learning Cookbook

Using the Theano backend with Keras

1. Let's modify the default configuration and change TensorFlow to Theano as the backend of Keras. Modify the keras.json file:

vi .keras/keras.json

The default file has the following content:

{ "image_data_format": "channels_last",   "epsilon": 1e-07,   "floatx": "float32",   "backend": "tensorflow" }

2. The modified file will look like the following file. The "backend" value has been changed to "theano":

{ "image_data_format": "channels_last",   "epsilon": 1e-07,   "floatx": "float32",   "backend": "theano" }

3. Run the Python console and import Sequential from keras.model using the Theano backend:

$ pythonPython 2.7.14 |Anaconda, Inc.| (default, Oct 16 2017, 17:29:19) [GCC 7.2.0] on linux2Type "help", "copyright", ...