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Natural Language Processing in TensorFlow に戻る

deeplearning.ai 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

4.6
5,917件の評価
921件のレビュー

コースについて

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 deeplearning.ai 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 deeplearning.ai 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....

人気のレビュー

GS

2019年8月26日

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!

AS

2020年7月21日

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!!

フィルター:

Natural Language Processing in TensorFlow: 851 - 875 / 926 レビュー

by Miguel R

2020年10月25日

Feels there where too many concepts not well covered

by Apoorv G

2020年7月17日

Short Videos are annoying. Overall content is good.

by Swetha S

2020年5月10日

No graded assignments. No conceptual explanation.

by Biao W

2020年4月16日

Need more explanations on the RNN models itself.

by Soumya B

2021年11月21日

Please add Coursera assignment based on coding

by Ramil A

2020年4月15日

I wish there were more graded projects.

by Igors K

2019年11月21日

No practical exercises that one must do

by Shubham A G

2019年8月31日

A bit too easy and no real assignments

by Yuxuan C

2020年4月12日

I wish there were graded assignments.

by Ashwin H

2020年4月25日

Coding assignments are much needed!

by Ahmad O

2020年9月14日

Assignments need some improvment.

by SUMIT V

2020年5月28日

not enough programming exercises

by giuseppe d

2020年7月19日

Concepts explained too quiclky

by Salem S

2020年4月16日

Code should be explained more

by albert

2020年6月20日

Not challenging enough....

by Ankit G

2020年5月17日

No programming assignments

by Leon V

2020年6月13日

Force me to write code.

by Artem K

2020年10月6日

Need more practice

by Vikas C

2019年12月24日

Good course

by Yining Z

2022年1月8日

too easy

by Hamzeh A

2019年8月20日

good

by Vasileios D S

2021年8月30日

N​ormally the courses of this specialization are well-structured and, although not very demanding, quite complete and self-contained, but in this case the content covered didn't go deep enough and there was very little insight provided into the principle of RNNs and specifically LTSMs, other than pointing to other lectures.

A​lso, while sentiment recognition seemed to be an interesting and promising field, the results of all attempts at text generation were so laughable that it made me wonder as to why was half the course devoted to it instead of some other application area of NLP

by Li P Z

2020年2月29日

Very disappointed in this course. Instructor seems to have limited understanding of how sequence models and word embeddings work, or is unable to communicate the ideas in his teaching. Explanation for the theory is limited, and he has difficulty tying theory to the TensorFlow framework. Not sure why you would begin teaching sequence models with LSTM blocks combined with standard NN, way too complex structure. Instructor doesn't talk about why sequence models are important and useful in the first place. Very very poor.

by Mohamed A S

2020年4月8日

Instead of taking this course, I could've read the tutorials on the TensorFlow site. Those tutorials are regularly updated, maintained, much more detailed and they're FREE.

This course, along the other courses in this specialization are not good for other than exposition to the TF API. Actually, they're not even good at that because the TF tutorials do a much better job at that.

And it's so frustrating that over-fitting is never tackled in any way and not even a hint at how to solve it is even given.

by Sebastian F

2019年8月9日

This was by far the hardest course on the sequence. I actually skip it and did courses on order 1, 2, 4 and now 3.

* Notebooks were not as easy to follow. Maybe put more comments on what was expected and describe the datasets a little more.

* There are typos here and there, for instance "The pervious video referred to a colab environment you can practice one. "-> previous.

The file at https://github.com/tensorflow/datasets/blob/master/docs/datasets.md NOT FOUND