Week 1 Assignment 2 Exercise 2 OperatorNotAllowedInGraphError in ReLU

Course Q&A Deep Learning Specialization Convolutional Neural Networks
1

I get the following error:

OperatorNotAllowedInGraphError: using a tf.Tensor as a Python bool is not allowed in Graph execution. Use Eager execution or decorate this function with @tf.function.

when running the code:
in convolutional_model(input_shape)
42 Z1 = tf.keras.layers.Conv2D(8,(4,4),strides=1,padding=‘SAME’)(input_img)
43 ## RELU
—> 44 A1 = tf.keras.layers.ReLU(Z1)

Looks like the output of Conv2D layer Z1 cannot be evaluated in ReLU function.
Any help how to overcome this problem?

2

Please understand functional API to know the difference between layer creation via __init__ and invoking the layer via __call__.

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3

Here is a thread which gives a good introduction to the Keras Sequential and Functional APIs.

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