December 2018
Intermediate to advanced
764 pages
18h 18m
English
book
Python: Advanced Guide to Artificial Intelligence
by Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
Content preview from Python: Advanced Guide to Artificial Intelligence
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LeNet for MNIST data
You can follow along with the code in the Jupyter notebook ch-09a_CNN_MNIST_TF_and_Keras.
Prepare the MNIST data into test and train sets:
from tensorflow.examples.tutorials.mnist import input_datamnist = input_data.read_data_sets(os.path.join('.','mnist'), one_hot=True)X_train = mnist.train.imagesX_test = mnist.test.imagesY_train = mnist.train.labelsY_test = mnist.test.labels
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