Some of the things in the exercises are incorrect and the exercises aren't graded. Quiz for week 4 was essentially the same as the Quiz for week 3. This course didn't have enough material to be considered a full course. Most of the topics were rushed through without giving enough background, with external links for details and even practice tutorials.

Very Very disappointed. "Shallow" is the word comes into my mind when I think about the lectures of this course. Materials are top-notch, but not enough attention were given into the details. Felt like it was made in a hurry. Why would someone pay a good amount of bucks to take a course like this that can be finished within a single day ?

Programming exercises are badly described, very often it is not obvious what then expect from you. Also some of them are broken, are correct answer is wrong and you are expected to reproduce the wrong answer (week 1).

Giving feed back so it may trigger some evaluation on this course. The course is very weak. Lacks material and engagement feeling. I would say increase the aterial 800-1000 percent , add homeworks, etc..

This seems like a beginner's class than an intermediate class. Can't you make some interesting coding assignments rather than the colab ones to run. Really boring this course

Not suited for beginners, no details were covered. This course is for people who have experience working with Tensorflow and just want to brush-up their skills.

Really a very beginner course. I am not sure they mentioned it or not. But they should ideally put it in the course description very clearly

It was not so great as I thought. The exercises and quizes were not challenging enough. It does not make you an NLP expert.

Outdated course. The methods used for tokenization, etc have been deprecated. This course is badly in need of an upgrade.

Very few details of LSTM are covered, do not think it is enough.

weak examples. no programming exercise.

Poorly designed and graded exercises.

Nothing to say besides disappointing!

do not take this course

It needs more homework.

I recently had the opportunity to explore the field of Natural Language Processing (NLP) using TensorFlow, and I must say that the experience was incredibly informative and aligned perfectly with my expectations. The NLP courses provided comprehensive and up-to-date knowledge, ensuring that I gained a deep understanding of the subject matter.

One aspect that particularly stood out to me was the hands-on approach taken throughout the courses. The practical exercises and tutorials allowed me to apply the concepts I learned in a real-world context, reinforcing my understanding and enhancing my problem-solving skills. The hands-on activities were well-structured and provided step-by-step guidance, making it easy to follow along and build my confidence in working with NLP models in TensorFlow.

In addition to the valuable coursework, the videos accompanying the lessons were truly excellent. The instructors presented the material with clarity and enthusiasm, making even the most complex topics accessible and engaging. The visual demonstrations and explanations further enhanced my learning experience, allowing me to grasp the intricacies of NLP in TensorFlow more effectively.

Overall, I highly recommend the NLP courses in TensorFlow for anyone interested in diving into the world of Natural Language Processing. The content is rich, the practical exercises are invaluable, and the videos provide a fantastic learning experience. Whether you're a beginner or already have some experience with NLP, these courses will undoubtedly expand your knowledge and proficiency in the field.

The "Natural Language Processing in TensorFlow" course by deeplearning.ai on Coursera is an insightful and comprehensive program on NLP. It progressively covers basic to advanced topics, catering to all learning levels. Interesting assignments include "Predicting the Next Word" using a corpus of Shakespeare's sonnets, which covers tokenization, sequence generation, and model training, and "Sentiment Analysis with RNNs" which delves into text classification for movie reviews. The course excellently combines theory and practice, ensuring a solid understanding of TensorFlow's application in NLP.

This course is very good for some applications. I am interested in using natural language programming to do a translating program Spanish to English and viceversa thru recognizing tokenizer sequences that map onto translated tokenizer sequences via a lookup table.

It does confirm whether TensorFlow or Keras are the tools to do so.

My doubt is where does one to find out exactly what I want?

Plus, it does not state where or which is next course.

At any rate, I a very grateful for the information run thru, to know which way they are going, that does not interest me at all.

One of the best places to start learning applied NLP in tensorflow. I tried books on ML for concepts but this really got me flowing with coding the ml programs for NLP. The delivery style was lovely. I love the style of instructor (Laurence). I haven't done the deep learning specialisation but the method with which the material was discussed made it easy to grasp the concept behind NLP while implementing it in code at the same time. Must do for all beginners in deep learning and NLP.

This course is perfect for beginners to have a grasp of the concept of utilizing tensorflow - keras tools and function to process natural language and create models for learning it. It has some deep explanations for why the models behave this way but not other ways. There are also some really useful tips that are worth to take note and can help AI researchers to save some times trying to figure out how to configure the environment, model structures etc.

Many thanks to the whole team for such a cool course! The course is well structured from simple to complex. Much of the material is presented in an easy to understand way. The course is well structured and allows you to get acquainted with the structure and construction of neural networks for natural language recognition.

Special thanks to Laurence Moroney and Andrew Ng for a cool course and the ability to talk simply about complex things!

Pros:

Laurence is an excellent tutor. He makes the whole experience very natural and although it is not a full introduction to deep learning, he gives an intuition behind all the steps, layers, approaches and functions. Highly recommended to someone starting out in NLP with TensorFlow.

Cons:

Exercises are only quizzes which are extremely easy. I miss graded notebooks but I understand that there may have been some computational constraints.

My first courses in AI was in Tensorflow and from that day i fell in love with AI. But i don't understanded some many thing about Deep Learning and i stoped this specialization and i learned about teorical Deep Learning with books and Andrew DL specialization.

So, i mean that i'm practice and develop AI application because of you. And i reaally appreciate your teachings. I find out my vocation with this specialization.

There are lot of courses available related to processing image data, but very few on NLP. The course was really good and helped me a lot. It would be helpful if a course is designed specifically keeping in mind the NLP data and the tasks associated with processing text data. If you could please make a video/post/blog on how to perform named entity recognition using sequence models with neural networks.

The content was quite good. I felt contented after watching all the videos in the course as I wanted some hands on experience in TensorFlow. Just a small suggestion to increase the volume of the videos. I faced a tough time watching videos on the Coursera app in my mobile. Coming to content wise, an excellent course to begin your path in NLP. Looking forward for the last course in the specialization.