Tensorflow: `batch_size` or `steps` is required for `Tensor` or `NumPy` input data
The error happens because a tf.Dataset is provided to the argument validation_data
of Model.fit, but Keras does not know how many steps to validate for. To solve this problem, you can just set the argument validation_steps
. For example:
model.fit(train_data,
batch_size=BATCH_SIZE,
epochs=NUM_EPOCHS,
validation_data=(validation_inputs, validation_targets),
validation_steps=10)
NUM_EPOCHS=5
model.fit(train_data,epochs= NUM_EPOCHS,
validation_data=(validation_inputs, validation_targets),
validation_steps=10,verbose=2)