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06_03_tensorflow2_example.py
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29 lines (22 loc) · 938 Bytes
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# Installa TensorFlow
import tensorflow as tf
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
model = tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28, 28)),
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10, activation='softmax')
])
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
import os
import datetime
log_dir = os.path.join('logs', 'fit', datetime.datetime.now().strftime('%Y%m%d-%H%M%S'))
print(log_dir)
os.makedirs(log_dir, exist_ok=True)
tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)
model.fit(x_train, y_train, validation_data=(x_test, y_test), epochs=5, callbacks=[tensorboard_callback])
model.evaluate(x_test, y_test, verbose=2)