Model summary and visualization in TensorFlow - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to print the summary of a TensorFlow Keras model.

TensorFlow

model = tf.keras.Sequential([tf.keras.layers.Dense(10, input_shape=(5,))])
model.[1]()

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

Asummary

Bfit

Ccompile

Dpredict

Attempts:

3 left

💡 Hint

Common Mistakes

Using fit() instead of summary() to print model details.

Trying to compile() or predict() to see the model structure.

The summary() method prints the model architecture details.

2fill in blank

medium

Complete the code to visualize a TensorFlow Keras model architecture as a plot.

TensorFlow

from tensorflow.keras.utils import plot_model
plot_model(model, to_file='model.png', [1]=True)

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

Ashow_layers

Bshow_shapes

Cdisplay_shapes

Dplot_shapes

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect argument names like show_layers or display_shapes.

Forgetting to set show_shapes=True to see layer dimensions.

The show_shapes=True argument adds the shape of each layer to the plot.

3fill in blank

hard

Fix the error in the code to correctly display the model summary.

TensorFlow

model = tf.keras.Sequential()
model.add(tf.keras.layers.Dense(5, input_shape=(3,)))
model.[1]

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

Ashow_summary()

Bsummary

Csummary()

Dprint_summary()

Attempts:

3 left

💡 Hint

Common Mistakes

Omitting parentheses after summary.

Using non-existent methods like print_summary or show_summary.

The summary() method must be called with parentheses to execute.

4fill in blank

hard

Fill both blanks to create a plot of the model with shapes shown and saved to 'my_model.png'.

TensorFlow

plot_model(model, to_file='my_model.png', [1]=[2])

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Ashow_shapes

BTrue

CFalse

Dshow_layer_names

Attempts:

3 left

💡 Hint

Common Mistakes

Using False instead of True to show shapes.

Using incorrect argument names like show_layer_names.

Use show_shapes=True to display layer shapes in the saved plot.

5fill in blank

hard

Fill all three blanks to print the model summary and save a plot with shapes shown and layer names shown.

TensorFlow

model.[1]()
plot_model(model, to_file='model_plot.png', [2]=[3])

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

Asummary

Bshow_shapes

CTrue

Dshow_layer_names

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting parentheses on summary.

Using show_layer_names instead of show_shapes to display shapes.

Call summary() to print details, and use show_shapes=True to show shapes in the plot.