Keras input shape throws value error expected 4d but got an array with shape (60000, 28,28)

Question

(x_train, y_train), (x_test, y_test) = tf.keras.datasets.fashion_mnist.load_data()
x_train = x_train.astype(\'float32\') / 255
x_test = x_test.astype(\'float32\') / 255
         


        

Answer 1

You are missing the channels dimension (with a value of one), it can be easily corrected by reshaping the array:

x_train = x_train.reshape((-1, 28, 28, 1))
x_test = x_test.reshape((-1, 28, 28, 1))