Natural Language Processing with Deep Learning in Python (Udemy.com)

I have edited this twice because I realized I made some mistakes in my first judgement: (1) His answers are sometimes antagonistic but the guy wants us to think by ourselves. He even states the step to master the topics and not just run by what he says. (2) Most links are updated, just not on the videos, but read the comments in the code and you probably will find the updated links as alternative to the original ones. (3) Explanations are great. Sometimes he rushes and combine definitions, e.g. BoW and CBoW, but for a first run over the course, this is fantastic, and in the second run, search each key word separately to see it by yourselves (4) The course content in general is great and his repo is massive with info that is fantastic.

To date, I have taken over a dozen courses taught by Lazy Programmer, and this is the most code-intensive one yet, so be prepared to write A LOT of code. You might also want to brush up on matrix factorization for the word2vec section. Be aware this is deep learning, so training for some models cannot be completed within a "reasonable" amount of time. My PC is rocking an i9 CPU along with a decent GPU, and some of the models we write would take over a day to finish training. Both the theory and implementation in the last section on recursive neural networks (a.k.a. tree neural networks) and recursive neural tensor networks require a huge amount of effort to fully comprehend. If you've taken a computer science algorithms course, specifically on tree traversals, you'll be ahead of the game. However, there are still loads of intensive work you have to do to find your footing. This entire course probably needs to be gone through more than once for most students. The learning curve compared to the simple NLP course is super steep. A massive amount of work went into producing this course, so a big kudos to the instructor!

Best online course on deep learning with NLP I have taken. The instructor didn't hesitate about including each step of the derivation and pointing out the common mistakes by students. It's complex but easy to follow. Lazy programmer's method of teaching is efficient and unique. Thanks a lot for the course!

Awesome tutorial on word embedding (word2vec and glove) techniques with implementations all from scratch. I found it was more advanced than your typical Udemy course, which was exactly what I was looking for. Each section is a step by step guide to mastering the algorithm from intuitions to theory and code. There are even implementations in different libraries so you can pick whichever one you like, like Numpy, Theano, or Tensorflow.

This is really great course on NLP. Instructor has very good understanding of tech domain and he is trying to demonstrate core part of algos which makes course stand out from other courses. But there are some scenarios like instructor can give some real world examples to explain some concepts/theory ans also should give some business case background for such cases. This will help us to understand why we learning such concept and how they are solving tech/business problems.

This course is good for intermediate deep learning students who are already familiar with a bit of deep learning. The instructor is the best with going into the details and explaining everything piece by piece. Some basics like gradient descent and calculus are required but it's not too difficult.

As someone who learns from scratch, I really enjoyed this approach of this course. It's always updated with the latest topics, and good even if you are advanced. The instructor teaches the concepts with ease and clarity. You'll also find the code to make the topics truly understandable.

I've taken multiple courses from this instructor, and once I've taken them I learned why they should be taken one by one with some space in between and to go by the right order. It goes really deep where some other courses would try to pack in everything into one course without really teaching anything besides the surface level. This is a really interesting topic, and judging by the current research I think its really important to combine deep learning with natural language processing. Organization of the course is very good. Starts with the "beginners corner" then a review of important topics before going onto the main topics. Within each section it starts by going through the derivations and then you get to write the code up from scratch. Never seen anything like this. It's good to know that this is a course for advanced topics. It looks like the other students who didn't enjoy the course were beginners who just got lost.

good course! All the lazy programmer courses are done very well, they give complete preparation but they are very challenging; their sequence forms a pleasant and complete course path; congratulations to the author. This course has been updated recently, and enriched with various contents that clarify more base concepts!

A great series on advanced deep learning application. The programming exercises are well designed and guide the student through the ideas in each section. The problem selection is interesting and focus on word embeddings and sentiment analysis. The teacher is excellent and shows his experience by teaching the material in a mature and well thought out manner.