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Generative A.I., from GANs to CLIP, with Python and Pytorch

Learn to code the most creative and exciting A.I. architectures, generative networks, from basic to advanced and beyond
4.5
4.5/5
(186 reviews)
15,090 students
Created by

9.0

Classbaze Grade®

9.1

Freshness

8.1

Popularity

9.2

Material

Learn to code the most creative and exciting A.I. architectures
Platform: Udemy
Video: 8h 0m
Language: English
Next start: On Demand

Best Deep Learning classes:

Classbaze Rating

Classbaze Grade®

9.0 / 10

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

Freshness

9.1 / 10
This course was last updated on 7/2021.

Course content can become outdated quite quickly.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

8.1 / 10
We analyzed factors such as the rating (4.5/5) 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

9.2 / 10
Video Score: 8.8 / 10
The course includes 8h 0m 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 8 hours 18 minutes of 153 Deep Learning courses on Udemy.
Detail Score: 9.3 / 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: 9.5 / 10

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

This course contains:

0 article.
7 resources.
0 exercise.
0 test.

In this page

About the course

Generative A.I. is the present and future of A.I. and deep learning, and it will touch every part of our lives. It is the part of A.I that is closer to our unique human capability of creating, imagining and inventing. By doing this course, you gain advanced knowledge and practical experience in the most promising part of A.I., deep learning, data science and advanced technology.
The course takes you on a fascinating journey in which you learn gradually, step by step, as we code together a range of generative architectures, from basic to advanced, until we reach multimodal A.I, where text and images are connected in incredible ways to produce amazing results.
At the beginning of each section, I explain the key concepts in great depth and then we code together, you and me, line by line, understanding everything, conquering together the challenge of building the most promising A.I architectures of today and tomorrow. After you complete the course, you will have a deep understanding of both the key concepts and the fine details of the coding process.
What a time to be alive! We are able to code and understand architectures that bring us home, home to our own human nature, capable of creating and imagining. Together, we will make it happen. Let’s do it!

What can you learn from this course?

✓ How to code generative A.I architectures from scratch using Python and Pytorch
✓ How generative architectures work, in great depth, from GANs to multimodal A.I, understanding every little detail in the process
✓ In addition to the coding, every section begins with an in-depth review of the key concepts related to these architectures
✓ Examples: We will code a generative network that produces human faces, and also combine two advanced networks to transform text prompts into amazing images. We will also understand in depth the details of how these networks work.

What you need to start the course?

• Basic knowledge of python. It’s enough with the very basics, as we will code every little thing together, line by line
• Access to an internet connection, as we will use the free online Google Colab service to code together
• Plenty of enthusiasm as we will go deep into every little detail, let’s do it! :)

Who is this course is made for?

• People interested in using A.I and deep learning to generate, imagine and create new things
• People interested in generative adversarial networks and other advanced A.I generative architectures
• People interested in how A.I can combine different modalities (text, images) to create new things (multimodal A.I.)
• People interested in learning to code the type of advanced A.I architectures that are the present and future of the field

Are there coupons or discounts for Generative A.I., from GANs to CLIP, with Python and Pytorch ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $16.2 of 153 Deep Learning courses. So this course is 7% cheaper than the average Deep Learning course on Udemy.

Will I be refunded if I'm not satisfied with the Generative A.I., from GANs to CLIP, with Python and Pytorch course?

YES, Generative A.I., from GANs to CLIP, with Python and 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 Generative A.I., from GANs to CLIP, with Python and Pytorch course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Javier Ideami?

Javier Ideami has created 3 courses that got 228 reviews which are generally positive. Javier Ideami has taught 16,452 students and received a 4.3 average review out of 228 reviews. Depending on the information available, we think that Javier Ideami is an instructor that you can trust.
Multidisciplinary engineer, researcher & creative director
Javier Ideami is an expert in A.I and deep learning, specialized in advanced visualization, computer vision and generative architectures. He is a multidisciplinary engineer, researcher, creative director, artist and entrepreneur. Javier Ideami’s projects and talks have taken him from Silicon Valley to the jungles of Bali, including Stanford University and UC Berkeley, the United Nations FAO HQ, the financial center of London, the International Cultural Diplomacy Conference in Berlin and many others.

9.0

Classbaze Grade®

9.1

Freshness

8.1

Popularity

9.2

Material

Platform: Udemy
Video: 8h 0m
Language: English
Next start: On Demand

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