Classbaze

Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Introduction to Generative Adversarial Networks with PyTorch

A comprehensive course on GANs including state of the art methods, recent techniques, and step-by-step hands-on projects
4.4
4.4/5
(92 reviews)
795 students
Created by

8.9

Classbaze Grade®

8.8

Freshness

8.5

Popularity

8.9

Material

A comprehensive course on GANs including state of the art methods
Platform: Udemy
Video: 5h 54m
Language: English
Next start: On Demand

Best Generative Adversarial Networks (GAN) classes:

Classbaze Rating

Classbaze Grade®

8.9 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

8.8 / 10
This course was last updated on 5/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.5 / 10
We analyzed factors such as the rating (4.4/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.9 / 10
Video Score: 8.5 / 10
The course includes 5h 54m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 24 minutes of 10 Generative Adversarial Networks (GAN) courses on Udemy.
Detail Score: 8.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

5 articles.
6 resources.
0 exercise.
0 test.

In this page

About the course

Master the basic building blocks of modern generative adversarial networks with a unique course that reviews the most recent research papers in GANs and at the same time gives the learner a very detailed hands-on experience in the topic. Start by learning the very basics of how GANs work and incrementally learn more cleverly crafted techniques that enhance your models from the basic GANs towards the more advanced Progressive Growing of GANs. On the journey, you shall learn a fair amount of deep learning concepts with an adequate discussion of the mathematics behind the modern models.

What can you learn from this course?

✓ 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

What you need to start the course?

• Familiarity with Python Programming
• Familiarity with Deep Learning Concepts

Who is this course is made for?

• Data scientists willing to take their skills to the next level in the area of GANs
• Research / Postgraduate Students willing to get a comprehensive overview of recent advancement made in the area of GANs
• Deep Learning practitioners willing to apply GANs at work in production environments
• Enthusiasts willing to stay up to date on GANs research and development
• Deep learning beginners willing to master the building blocks of modern GANs

Are there coupons or discounts for Introduction to Generative Adversarial Networks with PyTorch ? What is the current price?

The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.
The average price is $16.5 of 10 Generative Adversarial Networks (GAN) courses. So this course is 9% cheaper than the average Generative Adversarial Networks (GAN) course on Udemy.

Will I be refunded if I'm not satisfied with the Introduction to Generative Adversarial Networks with PyTorch course?

YES, Introduction to Generative Adversarial Networks with PyTorch has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Introduction to Generative Adversarial Networks with PyTorch course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who will teach this course? Can I trust Mustafa Qamaruddin?

Mustafa Qamaruddin has created 2 courses that got 96 reviews which are generally positive. Mustafa Qamaruddin has taught 105,927 students and received a 4.6 average review out of 96 reviews. Depending on the information available, we think that Mustafa Qamaruddin is an instructor that you can trust.
Machine Learning Engineer
I’m a machine learning engineer with over 10 years of experience in the software development industry. I have been working with startups on solving problems in various domains; e-commerce applications, recommender systems, biometric identity control, and event management.

My main focus has been digital image processing, machine learning, and deep learning ever since the recent boom in artificial intelligence technologies. I’m backed by a strong foundation in academic topics such as probability, statistics, discrete mathematics, computational complexity, and numerical methods. I’m interested in learning new languages both natural and programming languages; I speak Arabic, English, German, and Spanish. Besides good command of C++ and Python, I’m also pushing the limits of Julia programming language.

I have been a machine learning engineer with over 10 years of experience in the software development industry, during which I have been working with many fast-growing startups solving problems in various domains.

Machine Learning Engineer using Python with TensorFlow, Keras, and PyTorch specialized in Computer Vision such as Classification, Detection, and Segmentation with over 10 years of experience in Software Development.

I do also have adequate exposure to deploying image processing and machine learning solutions developed in C++ to Android devices. I have also got hands-on experience working with CoreML and TensorFlow Lite for smart & intelligent mobile applications.

I have been involved in many successful software products and worked with many startups to design and implement digital solutions. I can fluently communicate in English, Spanish, and German.

My blog has many articles on different topics such as algorithms, machine learning, and software architecture design.

Browse all courses by on Classbaze.

8.9

Classbaze Grade®

8.8

Freshness

8.5

Popularity

8.9

Material

Platform: Udemy
Video: 5h 54m
Language: English
Next start: On Demand

Classbaze recommendations for you