Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

early _ stopping _ cb = keras.callbacks.EarlyStopping ( patience = 4 ) model _ checkpoint _ cb = keras.callbacks.ModelCheckpoint ( my _ cifar 1

early_stopping_cb = keras.callbacks.EarlyStopping(patience=4)
model_checkpoint_cb = keras.callbacks.ModelCheckpoint("my_cifar10_bn_model.h5", save_best_only=True)
run_index =1 # increment every time you train the model
run_logdir = os.path.join(os.curdir, "my_cifar10_logs", "run_bn_{:03d}".format(run_index))
tensorboard_cb = keras.callbacks.TensorBoard(run_logdir)
callbacks =[early_stopping_cb, model_checkpoint_cb, tensorboard_cb]

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Mobile Communications

Authors: Jochen Schiller

2nd edition

978-0321123817, 321123816, 978-8131724262

More Books

Students also viewed these Programming questions