Samanehilchi
Samanehilchi
/ preparing_mnist.py
Created
November 6, 2022 09:39
— forked from ogyalcin/preparing_mnist.py
Reshaping and Normalizing the MNIST Images
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| # Reshaping the array to 4-dims so that it can work with the Keras API | |
| x_train = x_train.reshape(x_train.shape[0], 28, 28, 1) | |
| x_test = x_test.reshape(x_test.shape[0], 28, 28, 1) | |
| input_shape = (28, 28, 1) | |
| # Making sure that the values are float so that we can get decimal points after division | |
| x_train = x_train.astype('float32') | |
| x_test = x_test.astype('float32') | |
| # Normalizing the RGB codes by dividing it to the max RGB value. | |
| x_train /= 255 | |
| x_test /= 255 |