52 lines
1014 B
Python
Executable File
52 lines
1014 B
Python
Executable File
#!/usr/bin/python3
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import tensorflow as tf
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from tensorflow import keras
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import numpy as np
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import matplotlib.pyplot as plt
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import random
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print(tf.__version__)
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fashion_mnist = keras.datasets.fashion_mnist
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(train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data()
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train_images = train_images / 255.0
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test_images = test_images / 255.0
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class_names = [
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"T-shirt/top",
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"Trouser",
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"Pullover",
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"Dress",
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"Coat",
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"Sandal",
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"Shirt",
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"Sneaker",
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"Bag",
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"Ankle boot",
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]
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model = keras.Sequential(
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[
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keras.layers.Flatten(input_shape=(28, 28)),
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keras.layers.Dense(128, activation=tf.nn.relu),
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keras.layers.Dense(10, activation=tf.nn.softmax),
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]
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)
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model.compile(
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optimizer=tf.train.AdamOptimizer(),
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loss="sparse_categorical_crossentropy",
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metrics=["accuracy"],
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)
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model.fit(train_images, train_labels, epochs=5)
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test_loss, test_acc = model.evaluate(test_images, test_labels)
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print("Test accuracy:", test_acc)
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