問題タブ [image-classification]
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参照
tensorflow - Why we reshape images in Keras to 4d for image claissification
I don't know why we reshape and make its shape to (1, 3, 150, 150) as in line X = x.reshape((1,) + x.shape)and what 1 means here and what is the benefit of that.
This example is from https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html