InvalidArgumentError: cannot compute MatMul as input #0(zero-based) was expected to be a float tensor but is a double tensor [Op:MatMul]
Part 1: The problem is indeed the datatype of your input. By default your keras model expects float32 but you are passing a float64. You can either change the dtype of the model or change the input to float32. To change your model: def make_model(): net = tf.keras.Sequential() net.add(tf.keras.layers.Dense(4, activation=’relu’, dtype=”float32″)) net.add(tf.keras.layers.Dense(4, activation=’relu’)) net.add(tf.keras.layers.Dense(1)) return … Read more