Generative Adversarial Networks (GANs): Complete Guide (Udemy.com)

great intuition of algorithms, but doesnt explain the math behind it and the implementations are done in google colab, likely copied from the algorithm's github page. Either nail the math behind it or the production grade set up, but not 50% of both

This training is intended for individuals who are intermediate and have some background knowledge in deep learning. The instructor is doing a great job at explaining the topic thus far.

This course is well worth the money. How much stuff was covered and how simple the professors made the difficult concepts to understand surprises me.

Good explanation of different type of Generative Adversarial Network Architectures. The author has given good overall idea of different types of GANs for different applications. Great!

Está bem no inicio e é um conteúdo que já conheço, porém, é bem explicado e fácil de entender e com um bom detalhamento do código para uma melhor compreensão.

The explanations are very clear. There is a good balance between theory and the respective codes. The instructor is also giving references to original papers which is very good from a researcher's point.

i reached up to the wgan implementation. So far so good. It feels like I am in a workshop where both theory and implementation are covered in a balanced manner. I like this style very much

The course is ONLY useful if you are already very comfortable with TensorFlow. Otherwise, you will not be able to benefit from it. It is in fact a very Advanced course on computer vision and the lecturer will only focus on GANs, you will not get to learn how the os module, or many other packages that are used from the lecturer as he will just use them as if you know them all. So, as an Advanced course its 5 star but as a basic course as advertised, 100% disagree. Just 2 stars.

So much insights is provided by the instructors into the core concepts and the math behind the scene. I have taken many ML courses and this one is so far the most insightful. It built a lot of confidence in me and I encourage you all to take this course for sure.

I really enjoyed learning with this course! The instructor explains everything in a simple language. I started this course with just a basic knowledge of Python programming. The additional content about ANN and CNN at the end are very helpful. This is one of the best courses on Udemy. I hoep they will keep updating this course on a regular basis for new GAN architectures.