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Introduction to Generative Adversarial Networks with PyTorch

Online Course

Udemy
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Introduction to Generative Adversarial Networks with PyTorch
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Introduction to Generative Adversarial Networks with PyTorch
The course Introduction to Generative Adversarial Networks with PyTorch is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

A comprehensive course on GANs including state of the art methods, recent techniques, and step-by-step hands-on projects

Course description
  • Introduction to Generative Adversarial Networks with PyTorch
  • How Generative Adversarial Networks work internally
  • How to implement state of the art GANs techniques and methods using PyTorch
  • How to improve the training stability of GANs
  • Familiarity with Python Programming
  • Familiarity with Deep Learning Concepts
  • 6 hours on-demand video
  • 6 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Mustafa Qamaruddin
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Prerequisites & Facts

Introduction to Generative Adversarial Networks with PyTorch

Course Topic

Data Science, Development, Generative Adversarial Networks (GAN)

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Introduction to Generative Adversarial Networks with PyTorch

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Introduction to Generative Adversarial Networks with PyTorch
provided by Udemy
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School: Udemy
Topic: Data Science, Development, Generative Adversarial Networks (GAN)

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