21 lines
606 B
Python
21 lines
606 B
Python
import tensorflow as tf
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import keras
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print( tf.__version__ )
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from keras.layers import Dense, Flatten, Conv2D
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from keras import Model
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mnist = keras.datasets.mnist
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(x_train, y_train), (x_test, y_test) = mnist.load_data()
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x_train, x_test = x_train / 255.0, x_test / 255.0
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# Add a channels dimension
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x_train = x_train[..., tf.newaxis].astype("float32")
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x_test = x_test[..., tf.newaxis].astype("float32")
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# batch and shuffle the dataset
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train_ds = tf.data.Dataset.from_tensor_slices(
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(x_train, y_train)).shuffle(10000).batch(32)
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test_ds = tf.data.Dataset.from_tensor_slices((x_test, y_test)).batch(32) |