Explanation
Image Super-Resolution GANs is a training course on increasing the quality and size of images through artificial intelligence and adversarial generation networks in Python programming and Tensorflow 2 library version, which is published by Udemy Academy. Before the advent of artificial intelligence, our only idea of increasing the quality and size of images was going back to the world of movies and crime series. Where law enforcement officers used a computer to magnify small photographs and identify suspects. Meta-decomposition is one of the new techniques for increasing the size of images, which has been used and benefited by many professionals. The system designed for this training course will be able to enlarge the image up to four times its original size or can increase the number of pixels 16 times.
In this training course, we will use the Python programming language and TensorFlow version 2 to scale the image. Training artificial neural networks is a very time-consuming and complex process and consumes a lot of hardware and software resources. For this, we will use the free Google CoLab service.
What you will learn in Super-Resolution Imaging GANs:
- Building a productive artificial intelligence to increase the size and quality of different images
- Creating a unique design to remove the quality and depth of the original image
- Using the Google CoLab service to do the initial setup
- And…
Course guidelines
Publisher: Udemy
Instructor: Brad Klingensmith
Language: English
Level: Medium
Number of Lessons: 24
Duration: 2 hours and 31 minutes
course topics
Requirements for high-resolution image GANs
My course “Advanced Solutions for Innovative Adversarial Networks (GANs)”
Python experience
Experience with Convolutional Neural Networks
Basic knowledge of TensorFlow 2.0 and Keras
Pictures
Visual Super-Resolution GANs video introduction
installation guide
After the launch, watch your favorite player.
English language
Quality: 720p
download link
Password file: free download software
size
2.7 GB