deeplearning.ai의 Natural Language Processing in TensorFlow 학습자 리뷰 및 피드백

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.

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 !

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.

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.

It is a great course that I got basic understanding on NLP using tensorflow. Though the class is relatively short and finishes so quick. I expected to learn the current industry trend such as BERT. Hopefully this course could be updated in the near future.

As the name of the specialization suggests, this course is practice oriented. The projects and exercises have been designed to give more detailed insight in a gradual way as one progresses.

I enjoyed the course thoroughly with an insight into the subject.

The course on Natural Language Processing was well organized and taught by the instructor. To be more correct he actually nailed what was required in such a small duration with a very clear understanding. Kudos to the team for designing such a course.

Thank you Coursera or giving this wonderful course! This course really helped me in strengthening my knowledge on Natural Language processing and better understanding of the different architectures like RNN,LSTM and applying them in real world problem

Need more like these where we explore some advanced concepts, tips, tricks, techniques such as mode types of augmentations, pseudo labelling, test time augmentations, learning rate schedulers, GANs, DeepDream and more and more code-based things.

Another a great course by Laurence Moroney. This is my third course in the Tensorflow Specilization and the really good thing about this course is that I learned some interesting stuff lyrics or poetry generation using Recurrent Neural Network

you ever been in kindergarten and seen how the teacher systematically introduces the kids to learning and writing and by the end, the kids know how to read and how to write? This is one of the best course and I just say God bless you guys.

Well balanced short and sweet course with practical programming exercises as well as solid theoretical background superbly presented by outstanding tech experts. Looking forward eager for next courses of this series. Thank you very much!

Quite well informative intro for AI Beginners in concepts like: -Sentiments -Word Embedding -Recurrent Neural Networks. Is there a concept needed for this course that students must investigate if you don't know, high dimensional space.

This course was an excellent start to learn the basic concepts of RNN, LSTM. It also helped a lot to learn how to pre-process text data in order to convert words into numerical vectors that can be used as inputs to any neural network.