Python keras.json() Examples
The following are 2 code examples for showing how to use keras.json(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.
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Example 1
Project: mpi_learn Author: vlimant File: utils.py License: GNU General Public License v3.0 | 6 votes |
def import_keras(tries=10): """There is an issue when multiple processes import Keras simultaneously -- the file .keras/keras.json is sometimes not read correctly. as a workaround, just try several times to import keras.""" for try_num in range(tries): try: stderr = sys.stderr sys.stderr = open(os.devnull, 'w') import keras sys.stderr = stderr return except ValueError: logging.warning("Unable to import keras. Trying again: {0:d}".format(try_num)) from time import sleep sleep(0.1) logging.error("Failed to import keras!")
Example 2
Project: DeepIV Author: jhartford File: architectures.py License: MIT License | 5 votes |
def feature_to_image(features, height=28, width=28, channels=1, backend=K): ''' Reshape a flattened image to the input format for convolutions. Can be used either as a Keras operation using the default backend or with numpy by using the argument backend=np Conforms to the image data format setting defined in ~/.keras/keras.json ''' if K.image_data_format() == "channels_first": return backend.reshape(features, (-1, channels, height, width)) else: return backend.reshape(features, (-1, height, width, channels))