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[ DevCourseWeb com ] Udemy - Mastering Neural Style Transfer - Tensorflow, Keras and Python
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1 - Fundamentals
1 - Introduction.mp4
2 - What is Neural Style Transfer.mp4
3 - About this Project.mp4
4 - Why Should we Learn.mp4
5 - Applications.mp4
6 - Why Keras and Python.mp4
7 - Why Google Colab.mp4
2 - Model Building and Prediction
10 - Activate GPU.mp4
11 - Checking the availability and usage of GPUs.mp4
12 - Mount Google Drive to Google Colab.mp4
13 - Necessary library imports.mp4
14 - Setting the directory path.mp4
15 - Displaying the base image and the style reference.mp4
16 - Defining the desired dimensions.mp4
17 - Preprocesses an image.mp4
18 - Convert the generated image back to its original format.mp4
19 - Calculate the Gram matrix.mp4
20 - Calculates the style loss.mp4
21 - Calculates the content loss.mp4
22 - Calculates the total variation loss.mp4
23 - Loading the VGG19.mp4
24 - Creating a dictionary.mp4
25 - Building a feature extraction model.mp4
26 - Define the names of the style layers and the content layer.mp4
27 - Set the weights.mp4
28 - Calculates the total loss.mp4
29 - Computes the loss and gradients.mp4
30 - Set up the optimizer.mp4
31 - Preprocess the base image style reference image and combination image.mp4
32 - Perform the style transfer optimization loop.mp4
33 - Save and display the final generated image.mp4
8 - Setup the Working Directory.mp4
8 - code.ipynb
8 - content-image.jpg
8 - style-image.jpg
9 - Contents in Directory.mp4
Bonus Resources.txt
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