October 2018
Intermediate to advanced
472 pages
10h 57m
English
Consider restarting your session before starting this section:
import numpy as npimport matplotlib.pyplot as plt%matplotlib inlinefrom keras.datasets import mnist(X_train, y_train), (X_test, y_test) = mnist.load_data()from keras.layers import Conv2D, MaxPooling2D, UpSampling2Dfrom keras.models import Model, Sequentialfrom keras.optimizers import Adamfrom keras import backend as k# for resizing imagesfrom scipy.misc import imresize
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