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list of google colab deep learning tutorial
#import necessary libraries
import tensorflow as tf
#load training data and split into train and test sets
mnist = tf.keras.datasets.mnist
(x_train,y_train), (x_test,y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0
Source: neptune.ai
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