How do I use the Tensorboard callback of Keras?
keras.callbacks.TensorBoard(log_dir='./Graph', histogram_freq=0,
write_graph=True, write_images=True)
This line creates a Callback Tensorboard object, you should capture that object and give it to the fit
function of your model.
tbCallBack = keras.callbacks.TensorBoard(log_dir='./Graph', histogram_freq=0, write_graph=True, write_images=True)
...
model.fit(...inputs and parameters..., callbacks=[tbCallBack])
This way you gave your callback object to the function. It will be run during the training and will output files that can be used with tensorboard.
If you want to visualize the files created during training, run in your terminal
tensorboard --logdir path_to_current_dir/Graph
Hope this helps !
This is how you use the TensorBoard callback:
from keras.callbacks import TensorBoard
tensorboard = TensorBoard(log_dir='./logs', histogram_freq=0,
write_graph=True, write_images=False)
# define model
model.fit(X_train, Y_train,
batch_size=batch_size,
epochs=nb_epoch,
validation_data=(X_test, Y_test),
shuffle=True,
callbacks=[tensorboard])