A profound thank you to Laurence Moroney and Andrew Ng, whose wisdom, mentorship, and unwavering support guided me through this enlightening chapter of learning. Their dedication to nurturing inquisitive minds and fostering a collaborative learning environment has been truly impactful. 🙏 Your insights have not only broadened my perspectives but also inspired me to delve deeper into Deep Leraning.

Another outstanding course by Laurence Moroney. I like the clear and concise way that Laurence teached the complex subjects and his step-by-step approach to building up the models without getting bogged down with too much jargon or theory (and math!) behind the models. The courses (& exercises) are helping me apply the concepts to very practical problems. I enjoyed this course - Thanks Laurence!

Nice explanation by Mr. Lawrence about the prowess of Tensorflow module and how we use it to make a big impact in our Machine Learning problems using many datasets, such as ImageData Generator, Natural Language Processing, etc. Thank you also to Mr. Andrew and DeepLearnig.AI to support this kind of open-source library for people to also contributed to advancing the world of Machine Learning

Nice experience taking this course.Precise and to the point introduction of topics and a really nice way to start programming the models without going much into theory. Covers good ground in NLP using Deep Learning.Just got a feeling that the explanation of RNN and LSTM can be bit more elaborated so as to make them understand little better but all an all a vergy good course.

Excellent. Very straightforward, interesting examples, nice hands-on labs that get you up to speed quickly but can offer hours of ML enjoyment for those twisted minds that enjoy this sort of thing. Like all of the courses I have taken associated with Andrew Ng, it is well organized, informative and enjoyable, and Laurence Moroney does an excellent job presenting it.

This course is a great introduction to NLP processing with Tensorflow. It emphasize that more effort is required in terms of data pre-processing as well as the different variations to implement RNN (LSTM,GRU,Conv1D). The last part with text generation is very interesting as well to understand how to extrapolate text generation from an initial classification problem.

I enjoyed this course a lot. The concepts are not easy but Laurence the instructor does a really good job at breaking them down with practical examples and concrete implementation of the models with Tensor Flow. I went from knowing nothing in NLP to using cutting edge tools to implement those algorithms. Millions of thanks to our teachers Laurence and Dr Andrew Y.

I really like this course overall. I only have one suggestion for improvement. While most of the videos were very high quality. There were some of the vids where the sound was very hard to hear. Also, some vids also were pretty pointless to watch as it spent a lot of time talking about setting up the environment instead of going into the actual content.

A very decent course. The only real problem (not with the course though), was my inability to go into depth with the concepts of LSTM and GRU. The actual architecture went right above my head, and that probably needs a separate theory course to get it right. Additionally, I would like to say that please include more diagrams on how stacked lstms work.

Really informative on how to use TensorFlow for NLP tasks as well as learning to implement cutting edge techniques learnt in the Deep Learning specialization in just a few lines of Python code is truly impressive. Excellent course taught by an excellent instructor. DeepLearning.AI continues to bring complex Deep Learning content in such an easy way.

The course and the contents were really helpful. But in some videos especially in week 2, the sound quality was too low. that made it difficult to understand(but thanks to the subtitles). I wish if you take some time to up the volume for future students. Other than that the course is a must one for a Tensorflow beginner

Another great course with Laurence. Basic processing for NLP, tokenization and word embeddings, then onto RNN and LSTM for sentiment and finally LSTMs for word prediction. Years ago did a project using LISP and a knowledge system with a similar objective to the latter. Fascinating and motivating to see how a NN does it.

It is an amazingly fun course that invites you, step by step, into taking a first dive in the interesting world of Gen AI. The instructor (Laurence Moroney) is a very talented and resourceful man who puts a lot of care in his notebooks and videos ---I would definitely take another course with him again in the future!

Laurence is a very motivational speaker. His style of learning by examples helps me a great deal in building the neural network with TensorFfow and Keras for NLP applications. I wish the answers to the ungraded exercises are better documented so students can understand the intuition behind the python code. Thanks!

Thank you teachers! In this course, I learned how to use tokenizer to process texts and how to pad sequences for same length. What's more, learning embedding layer is very good start for me, learning lstm is very useful in my future work. Of course, I have learned more than this knowledge in this course.

My Heartfelt thanks to Laurence Moroney sir and Andrew ng for presenting this great lecture. I really enjoyed and learned a lot. A lot of great methods like LSTM, GRU, Convolutions and RNN with NLP is explained in simple manner for easy understandings. Thank you so much for providing these great lecture.

Very good course , I really liked it .. I thought NLP was a boring subject but the course instructor is really interesting and very direct and to the point in their explanation , I really like the course and I feel ready to take on some NLP big real world problems and try to find solutions for it ..

This is a great course to strengthen the understanding of NLP and is targeted at getting hands on practical learning experience through many coding lectures and exercises. This went a long way in helping me with my projects and research work on NLP and this is a much recommended course to everyone !

Perfect, just perfect!

The course instructor is amazing and so experienced with teaching deatails of everything in DL and TF.

I am so thankful to the course organizer of this specialization to give opportunity to individuals for perfect and flexible learning with hands-on assignments.

Cheers,

I highly recommend to watch NLP course of deep learning specialization, if anyone wants to opt this course. By doing that you easily understand the fundamental concepts that were raised in this course.

In my view this course is just like a summary of NLP course that I mentioned.

Really impressed by the work of the team. It is designed specially for the beginner to advance their career and be expert the emerging AI field. With the help of high quality videos and project based assignment one become expert hoe to deal and tackle real world problems.

It was easy to follow up all the lesson because of the way the course has been structured. I even tried in other places to learn tensorflow but i was not able to continue after few days. but this structured course was the best. I am confident about the knowledge i got.

Fundamentals well covered in areas of NLP and related Tensorflow/Keras stuff. Would definitely recommend for Beginners/Intermediate NLP professionals.

My understanding and experience has been enhanced really as this course has picked up right Industry level datasets.

This is a really good course for the students who has a passion towards deep learning. Clear explanations, great presentation and easy to understand even for a beginner. Really enjoyed doing this course. Thank you Mr.Laurence Moroney and thank you Coursera.

these course contents are great, from introduction to NLP with many cases, from poetry to Shakespeare. really enjoy the course. hopefully, they add a more (deeper) additional explanation about what happened behind those chosen algorithms and hyperparameters.