A callback is a powerful tool to customize the behavior of a Keras model during training, evaluation, or inference. What is the function of the following callback? process = tf.keras.callbacks.EarlyStopping( monitor='val_prc', verbose=1, patience=10, mode='max', restore_best_weights=True) Group of answer choices Periodically save your model to disk Write TensorBoard logs Get a view on internal states of a model during training Do early stopping
A callback is a powerful tool to customize the behavior of a Keras model during training, evaluation, or inference. What is the function of the following callback? process = tf.keras.callbacks.EarlyStopping( monitor='val_prc', verbose=1, patience=10, mode='max', restore_best_weights=True) Group of answer choices Periodically save your model to disk Write TensorBoard logs Get a view on internal states of a model during training Do early stopping
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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A callback is a powerful tool to customize the behavior of a Keras model during training, evaluation, or inference. What is the function of the following callback?
process = tf.keras.callbacks.EarlyStopping( monitor='val_prc', verbose=1, patience=10, mode='max', restore_best_weights=True)
Group of answer choices
Periodically save your model to disk
Write TensorBoard logs
Get a view on internal states of a model during training
Do early stopping
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