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The Deep Learning with PyTorch Workshop

You're reading from   The Deep Learning with PyTorch Workshop Build deep neural networks and artificial intelligence applications with PyTorch

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781838989217
Length 330 pages
Edition 1st Edition
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Author (1):
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Hyatt Saleh Hyatt Saleh
Author Profile Icon Hyatt Saleh
Hyatt Saleh
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Toc

5. Style Transfer

Activity 5.01: Performing Style Transfer

Solution

  1. Import the required libraries:
    import numpy as np
    import torch
    from torch import nn, optim
    from PIL import Image
    import matplotlib.pyplot as plt
    from torchvision import transforms, models

    If your machine has a GPU available, make sure to define a variable named device that will help to allocate some variables to the GPU, as follows:

    device = "cuda"
  2. Specify the transformations to be performed over the input images. Be sure to resize them to the same size, convert them into tensors, and normalize them:
    imsize = 224
    loader = \
    transforms.Compose([transforms.Resize(imsize), \
                        transforms.ToTensor(),\
                        transforms.Normalize((0.485, 0.456, 0.406), \
       ...
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