Udemy - Mastering Neural Style Transfer - Tensorflow, Keras and Python

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[ DevCourseWeb.com ] Udemy - Mastering Neural Style Transfer - Tensorflow, Keras and Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Fundamentals
    • 1 - Introduction.mp4 (20.1 MB)
    • 2 - What is Neural Style Transfer.mp4 (20.4 MB)
    • 3 - About this Project.mp4 (15.1 MB)
    • 4 - Why Should we Learn.mp4 (36.0 MB)
    • 5 - Applications.mp4 (44.6 MB)
    • 6 - Why Keras and Python.mp4 (7.8 MB)
    • 7 - Why Google Colab.mp4 (6.0 MB)
    2 - Model Building and Prediction
    • 10 - Activate GPU.mp4 (8.3 MB)
    • 11 - Checking the availability and usage of GPUs.mp4 (11.4 MB)
    • 12 - Mount Google Drive to Google Colab.mp4 (5.6 MB)
    • 13 - Necessary library imports.mp4 (8.8 MB)
    • 14 - Setting the directory path.mp4 (11.2 MB)
    • 15 - Displaying the base image and the style reference.mp4 (6.7 MB)
    • 16 - Defining the desired dimensions.mp4 (5.6 MB)
    • 17 - Preprocesses an image.mp4 (9.0 MB)
    • 18 - Convert the generated image back to its original format.mp4 (9.7 MB)
    • 19 - Calculate the Gram matrix.mp4 (8.6 MB)
    • 20 - Calculates the style loss.mp4 (7.6 MB)
    • 21 - Calculates the content loss.mp4 (3.7 MB)
    • 22 - Calculates the total variation loss.mp4 (5.5 MB)
    • 23 - Loading the VGG19.mp4 (6.5 MB)
    • 24 - Creating a dictionary.mp4 (4.2 MB)
    • 25 - Building a feature extraction model.mp4 (6.0 MB)
    • 26 - Define the names of the style layers and the content layer.mp4 (6.6 MB)
    • 27 - Set the weights.mp4 (4.7 MB)
    • 28 - Calculates the total loss.mp4 (25.3 MB)
    • 29 - Computes the loss and gradients.mp4 (7.1 MB)
    • 30 - Set up the optimizer.mp4 (5.3 MB)
    • 31 - Preprocess the base image style reference image and combination image.mp4 (9.4 MB)
    • 32 - Perform the style transfer optimization loop.mp4 (12.8 MB)
    • 33 - Save and display the final generated image.mp4 (10.4 MB)
    • 8 - Setup the Working Directory.mp4 (8.7 MB)
    • 8 - code.ipynb (616.1 KB)
    • 8 - content-image.jpg (170.6 KB)
    • 8 - style-image.jpg (43.3 KB)
    • 9 - Contents in Directory.mp4 (14.2 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Mastering Neural Style Transfer: Tensorflow, Keras & Python



https://DevCourseWeb.com

Published 7/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 373.80 MB | Duration: 1h 22m

Hands-on Neural Style Transfer: Creating Artistic Images using Tensorflow, Keras, Python, and Google Colab

What you'll learn
Understand Neural Style Transfer and its application in combining content and style in images.
Learn to implement Neural Style Transfer algorithms using Python and Keras.
Gain proficiency in image preprocessing techniques and using pre-trained models like VGG19.
Understand the concept of loss functions and their role in style transfer optimization.
Acquire skills in optimizing style transfer using an optimizer with learning rate decay.
Learn to save and display generated images during the optimization process.
Gain practical experience in implementing Neural Style Transfer algorithms.

Requirements
Familiarity with Python programming language (basic knowledge is sufficient)



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Udemy - Mastering Neural Style Transfer - Tensorflow, Keras and Python

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373.8 MB
seeders:3
leechers:5
Udemy - Mastering Neural Style Transfer - Tensorflow, Keras and Python

Torrent hash: 498A5690A9C8A370CA952F3FBE62BB15C7A20982