Mastering Neural Style Transfer Tensorflow Keras Python

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Files Included :

1 - Introduction.mp4 (20.06 MB)
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2 - What is Neural Style Transfer.mp4 (20.39 MB)
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3 - About this Project.mp4 (15.1 MB)
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4 - Why Should we Learn.mp4 (36.02 MB)
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5 - Applications.mp4 (44.63 MB)
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6 - Why Keras and Python.mp4 (7.83 MB)
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7 - Why Google Colab.mp4 (5.99 MB)
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10 - Activate GPU.mp4 (8.34 MB)
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11 - Checking the availability and usage of GPUs.mp4 (11.37 MB)
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12 - Mount Google Drive to Google Colab.mp4 (5.63 MB)
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13 - Necessary library imports.mp4 (8.78 MB)
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14 - Setting the directory path.mp4 (11.19 MB)
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15 - Displaying the base image and the style reference.mp4 (6.72 MB)
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16 - Defining the desired dimensions.mp4 (5.63 MB)
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17 - Preprocesses an image.mp4 (9.02 MB)
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18 - Convert the generated image back to its original format.mp4 (9.7 MB)
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19 - Calculate the Gram matrix.mp4 (8.6 MB)
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20 - Calculates the style loss.mp4 (7.59 MB)
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21 - Calculates the content loss.mp4 (3.66 MB)
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22 - Calculates the total variation loss.mp4 (5.51 MB)
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23 - Loading the VGG19.mp4 (6.55 MB)
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24 - Creating a dictionary.mp4 (4.21 MB)
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25 - Building a feature extraction model.mp4 (5.98 MB)
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26 - Define the names of the style layers and the content layer.mp4 (6.56 MB)
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27 - Set the weights.mp4 (4.66 MB)
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28 - Calculates the total loss.mp4 (25.31 MB)
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29 - Computes the loss and gradients.mp4 (7.09 MB)
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30 - Set up the optimizer.mp4 (5.33 MB)
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31 - Preprocess the base image style reference image and combination image.mp4 (9.36 MB)
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32 - Perform the style transfer optimization loop.mp4 (12.79 MB)
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33 - Save and display the final generated image.mp4 (10.38 MB)
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8 - Setup the Working Directory.mp4 (8.74 MB)
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9 - Contents in Directory.mp4 (14.25 MB)
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