July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Exploring the dataset
Load the CIFAR dataset:
(x_train, y_train), _ = cifar10.load_data()x_train = x_train.astype('float32')/255.0
Let's see what we have in our dataset. Define a helper function for plotting the image:
def plot_images(X): plt.figure(1) z = 0 for i in range(0,4): for j in range(0,4): plt.subplot2grid((4,4),(i,j)) plt.imshow(toimage(X[z])) z = z + 1 plt.show()
Let's plot a few images:
plot_images(x_train[:17])
The plotted images are shown as follows:
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