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Deep Learning: Introduction to GANs

Generative Adversarial Networks with Python and Tensorflow
4.0
☆☆☆☆☆ 4.0/5
(6 reviews)
42 students
Created by
Daj Katal

8.0

Classbaze Grade®

8.3

Freshness

7.9

Popularity

7.3

Material

Detailed Analysis »

Generative Adversarial Networks with Python and Tensorflow
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Platform: Udemy
Price: check current price
Video: 1h 59m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

8.0 / 10

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

Freshness

8.3 / 10
This course was last updated on 12/2020.

Course content can become outdated quite quickly.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

7.9 / 10
We analyzed factors such as the rating (4.0/5) 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

7.3 / 10
Video Score: 7.8 / 10
The course includes 1h 59m 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: 8.7 / 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: 5.5 / 10

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

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

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About this course

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  What you need to START the course
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About the course

In this course you will learn from scratch how to implement GANs to any of your projects. We will start with by breaking down a GAN into its parts and analyzing them. Then we will look at the loss functions we will be using and the Frechet Inception Distance. Finally we will take all this new information and apply it using Python and Tensorflow to the MNIST dataset. The code will be written such that you can use it for any of your image-based projects.

What can you learn from this course?

✓ Understand the principles of GANs and how they work internally
✓ The mathematics behind four loss functions: Minimax, Non-Saturating, Least Squares, and Wasserstein
✓ How to determine the quality of the data a GAN produces
✓ How to generate numbers from the MNIST Dataset
✓ Apply GAN to new datasets

What you need to start the course?

• It is recommended that you know Python and the basics of Tensorflow
• You need to have an intermediate understanding on Neural Networks and the math behind them

Who is this course is made for?

• People who have never worked with GANs and want to learn it
• People who want to get a GAN framework that they can use right away
• People who want to generate more data for their machine learning models

Are there coupons or discounts for Deep Learning: Introduction to GANs ? 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 $59. So you save $44 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 Deep Learning: Introduction to GANs course?

YES, Deep Learning: Introduction to GANs 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 Deep Learning: Introduction to GANs course, but there is a $44 discount from the original price ($59). So the current price is just $14.99.

Who will teach this course? Can I trust Daj Katal?

Daj Katal has created 1 courses that got 6 reviews which are generally positive. Daj Katal has taught 42 students and received a 4.0 average review out of 6 reviews. Depending on the information available, we think that Daj Katal is an instructor that you can trust.

Learn everything about

Daj Katal

Machine Learning Expert
I love GANs! When I first found out about them, I could not understand how they could generate data. I couldn’t wrap my head around how the neural network could work collaboratively to generate an image as opposed to each neuron trying to generate a different one and ending up with white noise. However, I have gained knowledge and now I primarily focus on work in this area.

The future is bright, especially with the development of advanced GANs.
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Go to class »

8.0

Classbaze Grade®

8.3

Freshness

7.9

Popularity

7.3

Material

Detailed Analysis »

Generative Adversarial Networks with Python and Tensorflow
Go to course »
Platform: Udemy
Price: check current price
Video: 1h 59m
Language: English
Next start: On Demand

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