Deep Learning: Advanced Natural Language Processing and RNNs (Udemy.com)

Awesome! Good content and well-structured presentation. I really enjoyed this course, learnt a lot, informative and fun approach to presenting the material. The instructor was extremely knowledgeable, making complex topics easy to understand through engaging, practical examples and also the trainer was incredibly supportive and responsive, provided clear, actionable advice. He delivered the training excellently and extremely valuable. Thank you so much to instructor.

I loved the details in which attention was explained before jumping into code. All the contents like seq2seq, bi-directional RNN has been greatly helpful in understanding the fundamentals. Now, that I have completed this (minus the memory network) I am stepping into transformers course from LazyProgrammer. His courses have been very helpful in understanding the deep learning fundamentals so far. There were some challenges in getting the code running, but, it was not that hard to figure out so, I won't dislike that.

Man, you lost me at some of the lectures... But you have done a tremendous job diving into the advanced subjects!! The topics are not easy to understand and follow. Comparing to many similar courses teaching only the basics, this professor took on the challenge to teach more advanced and difficult topics. And, frankly, he succeeded in many parts throughout the course yet there are still parts that the student will have to listen again and again, read the code, and still not be able to understand some of them. The professor is probably aware and may want to improve the content if the time was worth. Bearing this in mind, although being left a bit displeased with some of the course parts, I would have to recognize the professor's real efforts spent in teaching the course and assign him 4 out 5. Also, to stay completely objective I would have to rate other Udemy ML courses at 2, max 3 out of 5.

Very good. An advanced-level course for those who enjoy delving into code. The instructor has a strong didactic approach, providing a theoretical introduction and then explaining the code step by step. As he himself suggests, it is beneficial to start with the final sections, beginning with sections 10, 9, 8, and 7 (curiously, this order seems to work better) :)

I feel as this is the advanced nlp course transformers and bert should also be there in the course.

This course builds on top of NLP with Deep Learning but is relatively much easier. Most of the code is implemented in Keras, so not everything needs building up from scratch. It is a great continuation course and light on the math, which you may like if you are not numerically-oriented. I was fairly disappointed that transformers were not covered, but hopefully new material is on the way.

I am a beginner to NLP and deep learning and I am very satisfied with this course! Upon completing this course, I am more confident with my Python skills and applying them in practice for text classification, machine translation, and others. I would say no matter what you want to do with data science, deep learning, or NLP, this course would give you a good understanding and confidence!

I got vast knowledge on this topic and all my doubts were cleared. I am completely satisfied with this course. This is a great course if you want to get advanced with deep learning and NLP. Lazy programmer not only teaches how to do something but also the reason behind it which makes it different than any tutorial. Also I like the breakdown of the maths and schematics he gives before each programming lesson.

It was a quite advanced level course. Though I met the prerequisites, had a hard time to understand few things in my first attempt. Though I could understand them after listening to the videos repeatedly and also writing codes on my own. All the theories were covered and explained by the instructor very well but the coding demonstration part could have been better (detailed) for Attention and Memory Network. It took time for me to complete the course but I have learned a lot and also gained confidence. Overall, it was a very good course though quite complex and difficult.

Thank you so much for very intuitive course! I think you should include Beam search and Speech recognition as a part of your course. I really want to build a speech recognition system but I can't find any course online. I found your course easier to understand than Andrew Ng's(especially in some complex topics like Attention) and it help me a lot when learning NLP. Best course I've taken!