Which of the following statements is false?
A) Keras xe "convnet (convolutional neural network) "convnets require NumPy array inputs in which each sample has the shape: (width, height, channels)
B) For MNIST, each image's width and height are 28 pixels, and each pixel has one channel (the grayscale shade of the pixel from 0 to 255) , so each sample's shape will be: (28, 28, 1)
C) Full-color images with RGB (red/green/blue) values for each pixel, would have three channels-one channel each for the red, green and blue components of a color.
D) As the neural network learns from the images, it reduces the number of channels.
Correct Answer:
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