Keras live visualization
This package visualizes ongoing Keras optimizations live in your browser.
Optimization runs are logged in a database. To use this visualization you have to
DBLogger as callback to your optimization.
Kerasvis is developed for Python 3 only. It does not work with Python 2. There are no plans to add Python 2 support.
Install via pip the kerasvis package
pip install kerasvis
or install directly from github:
pip install git+git://github.com/neuralyzer/kerasvis.git
from kerasvis import DBLogger from keras.models import Sequential from keras.layers import Dense import scipy as sp X = sp.rand(200, 20) y = (sp.rand(200, 1) < .5).astype(int) model = Sequential() model.add(Dense(200, input_dim=20, activation="sigmoid")) model.add(Dense(1, activation="sigmoid")) model.compile("sgd", "binary_crossentropy") logger = DBLogger(comment="An example run") history = model.fit(X, y, nb_epoch=100, batch_size=64, verbose=0, validation_split=0.2, callbacks=[logger]
Check the docstring of the DBLogger class for more information.
Start the keras visualization server with
export FLASK_APP=kerasvis.runserver flask run
You'll see a web output similar to the one below
Delete runs from the database
Runs can be deleted with the
DBLogger. To delete the run with id 3 you do
db_logger = DBLogger(id=3) db_logger.delete()
you will then be asked if you really want to delete and have to confirm with "yes".
Runs can also be delted via the web interface. To disable deletion via the webinterface set the environment variable