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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: 676 - 700 / 934 レビュー

by Clarissa E


Dynamic, didactic and challenging. Very well organized too. Loved it, and will take more :D

by Xinhui H


intro level course. all projects are toy models. would like to see industry-level projects.

by Abhishek N


Liked the graded coding thing but don't know why it is removed was quite fun writing codes

by Mats E


Very good high level introduction, some of the videos are 100% duplicated material though.

by Md S H C


The course is fun, and also helpful. It would be 5-star if there were graded assignments.

by Ambesh S


Explaination bu Laurence Moorney was not enough, needed some extra stuff but still good.

by Dong Z


Good learning, but not the 101 for NLP, I still do not understand some concepts of NLP.

by Juan C G R


it is a good introductory course ... I liked those references to the andrew course ...

by Khue L M S


I hope to have graded exercises in this course like the Computer Vision in TensorFlow

by Deleted A


really good course. in some point you need to know or study the LSTM (the essential).

by Karan S


Good overview of basics. I was expecting more advanced topics to be covered in this.

by Mohammad


the course covers the material in a very nice way. graded exercises are a must!!!!!

by Leo C


All video based and some of the videos are very low volume. Overall, good content.

by Neelkanth S M


This course is a good foundation course for those seeking to specialize in NLP.

by Bernardo A


A little too superficial, but great introduction to NLP resources on tensorflow

by Delowar S


this course me to learn word processing and how to complete a simple sentence

by Daksh B


Exercise to write code will help more to learn applying the concepts learner.

by Aniruddha S


Innovative Course but little bit difficult to visualize what is going in deep

by Robert G


I would like to see examples with some sound, video and web scrapping input.

by Rodrigo S


Le agregaría más ejercicios obligatorios, como el curso 1. Igual está bueno!

by Andrea Z


Overall an interesting course. I suggest to fix small problems with URLs

by Meta_Enigma


the course content is great, but some explanations are not very detailed

by Fahmi J


The minus is just we are not being evaluated like the course before this

by Dr. S G


It was a nice experience to learn a lot of things through this course.

by arnaud k


great course but could have gone a little bit deeper into the subject.