I’m getting this weird exception while running the exact notebook that’s given source
net = tf.keras.applications.EfficientNetB0(include_top = False)
net.trainable = False
model = tf.keras.Sequential([
tf.keras.layers.Rescaling(scale=255),
tf.keras.layers.TimeDistributed(net),
tf.keras.layers.Dense(10),
tf.keras.layers.GlobalAveragePooling3D()
])
model.compile(optimizer = 'adam',
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits = True),
metrics=['accuracy'])
model.fit(x=train_ds,
epochs = 10,
validation_data = val_ds,
callbacks = tf.keras.callbacks.EarlyStopping(patience = 2, monitor = 'val_loss'))