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Natural Language Processing in TensorFlow に戻る による Natural Language Processing in TensorFlow の受講者のレビューおよびフィードバック



If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 3 of the TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an LSTM on existing text to create original poetry! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....




Excellent. Isn't Laurence just great! Fantastically deep knowledge, easy learning style, very practical presentation. And funny! A pure joy, highly relevant and extremely useful of course. Thank you!



Great course for anyone interested in NLP! This course focuses on practical learning instead of overburdening students with theory. Would recommend this to every NLP beginner/enthusiast out there!!


Natural Language Processing in TensorFlow: 801 - 825 / 924 レビュー

by David R C S


Good course to introduce to the NLP world, but it lacks explanations, so you have to complement this with other sources even for understanding what you are doing here.

by Davide C


Very superficial and requires no exercise to be solved so it is up to you to learn anything.

There are many topic that feel unfinished, many examples that are unsolved.

by Piyush J


There were some prerequisites of the course related to deeplearning, which should have been known, then the course would have been understood better.

by Roberto F


This course was really useful. You always work from a practical point of view, although there are not enough exercises to acquire a remarkable ease.

by Adam I


I was expecting a complete course to master tensorflow but Laurence barely taught tensorflow in this specialization. It was more of introduction.

by ‍이그나티우스이완[재학 / 산


This course is great for overview, but the examples were too few and lack mandatory assignment which can provide me an objective to learn more

by 4SF18IS103 - S A


There weren't any graded Exercise like other courses, which would've made us think a lot more.

I hope they add graded exercise to this course.

by Yevhen D


The course is too simple and doesn't cover topics deep enough. I suggest adding more practical assignments and explaining LSTM, Embedding etc

by Christopher C


Introduction to calling the different functions is fine but there could be more focus on choosing parameters. The course feels too shallow.

by Ana R


It's shallow, does not explain some important concepts. Seems like it was explained on a rush, or didn't bother going more into detaisl.

by Guillermo M


I would like to implement programming exersice with rate because you can discuss with all the community and you enrich your knowledge.

by Naren D


Tutorials are difficult to navigate. Information about how to code is quite good. Hope they can improve their tutorial sections

by Chad G


Good high level understanding of NLP, but not great implementation explanations and almost all of the links lead to a 404 error

by Rohan L


Good starter course for NLP with Keras. But, I'd say doing Sequence Models ie C5 of the Deep Learning specialization is a must!

by Marc-Antoine G


Please make the "Ungraded assignment" Graded and add more comments/directive in them to make sure we understand each steps.

by J N B P


This course shows the tools used for NLP in Tensorflow, it would benefit only those who have basic knowledge of NLP.

by Vera P


It's ok and certainly takes less time than expected, but it's a shame that there are not coding graded exercises.

by Wayne Y


I feel that the course content is lacking in depth. Usually a week of materials can be finished in a few hours.

by Meraj Z


Detailed Description is still missing, makes you sometime to google and find the exact understanding.

by Alexander S


Homework was almost not existent. Notebooks provided had several mistakes in them. I expected more.

by Shivam V


The course is overall good . If you are proficient in python then it would be very easy for you.

by Juan S A T


The exercises are not well designed: instructions are not clear and the results are not graded.

by Aishwarya N


Good teaching but a tough course to understand . good that there is no graded coding assignment

by Vishwak S


Good content. But there was no graded lab and audio quality of the videos is very very poor.



Concepts are explained less as compared to a great course on convolutional network course-2