Saving weights only in TensorFlow - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to save only the weights of the model.

TensorFlow

model.[1]('weights.h5')

Drag options to blanks, or click blank then click option'

Asave_all

Bsave

Csave_model

Dsave_weights

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'save' saves the whole model, not just weights.

Using 'save_model' is incorrect for saving weights only.

Use save_weights to save only the weights of a TensorFlow model.

2fill in blank

medium

Complete the code to load weights from a file into the model.

TensorFlow

model.[1]('weights.h5')

Drag options to blanks, or click blank then click option'

Aload_model

Bload

Cload_weights

Drestore_weights

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'load_model' tries to load a full model, not just weights.

Using 'restore_weights' is not a valid TensorFlow method.

Use load_weights to load saved weights into a TensorFlow model.

3fill in blank

hard

Fix the error in saving weights by completing the method name correctly.

TensorFlow

model.[1]('my_weights.h5')

Drag options to blanks, or click blank then click option'

Asave_weights

Bsaveweight

Csave_weights_only

Dsaveweightfile

Attempts:

3 left

💡 Hint

Common Mistakes

Misspelling the method name causes AttributeError.

Adding extra words like 'only' is incorrect.

The correct method to save weights is save_weights. Other options are invalid.

4fill in blank

hard

Fill both blanks to save weights in TensorFlow and specify the file format.

TensorFlow

model.[1]('weights.[2]')

Drag options to blanks, or click blank then click option'

Asave_weights

Bsave

Ch5

Dckpt

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'save' saves the whole model, not just weights.

Using '.ckpt' extension requires different saving/loading methods.

Use save_weights to save weights and h5 as the file extension for HDF5 format.

5fill in blank

hard

Fill all three blanks to load weights from a checkpoint file and verify the model's accuracy.

TensorFlow

model.[1]('checkpoint.[2]')
loss, accuracy = model.evaluate([3], verbose=0)

Drag options to blanks, or click blank then click option'

Aload_weights

Bckpt

Ctest_data

Dload_model

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'load_model' instead of 'load_weights' for weights only.

Using wrong file extension for checkpoint files.

Not passing test data to evaluate method.

Use load_weights to load weights from a checkpoint file with extension .ckpt. Then evaluate the model on test_data to get accuracy.