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While attempting an assignment, I found that shape of the input image was (600,64,64,3). I thought 3 stood for the number of channels but it's listed as the 4th dimension. What does this mean? This is in reference to convolutional neural networks.

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The fourth dimension is because it is referring to either the full dataset(train/test) Or an individual batch.

600 - Number of images in the dataset or batch
64 x 64 - Size of each image
3 - Number of channels

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600 can be the number of images of shape 64x64x3 and not only one image.

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