April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Getting ready
Let's import all the required packages using the following code snippet:
import gzip, os, sysimport numpy as npfrom scipy.stats import multivariate_normalfrom urllib.request import urlretrieveimport matplotlib.pyplot as pltimport torchimport torch.utils.datafrom torch import nn, optimfrom torch.autograd import Variablefrom torch.nn import functional as Ffrom torchvision import datasets, transformsfrom torchvision.utils import save_imagefrom torch.utils.data import DataLoader
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.