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学生对 DeepLearning.AI 提供的 Natural Language Processing in TensorFlow 的评价和反馈

4.6
6,523 个评分

课程概述

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 Developer 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 Developer 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....

热门审阅

FQ

Oct 26, 2023

I already had some theoretical background from the Deep Learning Specialization from Andrew Ng, but with this course, I feel much more confident about building real-world applications with TensorFlow.

GS

Aug 26, 2019

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!

筛选依据:

176 - Natural Language Processing in TensorFlow 的 200 个评论(共 1,006 个)

创建者 Sriraman

Jul 7, 2020

All basic fundamentals of NLP use cases that can be solved using Tensorflow had been taught and taught well with sufficient references and explanations.

创建者 Shivam S

Sep 19, 2019

Explained the concepts very well. One suggestion: Can spend some more time over the theory and a little bit of Math for understanding the models better.

创建者 Hiển N T

Aug 30, 2021

My favorite knowledge that i was learned is how to find learning rate by use callbacks, it was awesome. Thank for Laurence Moroney  在新标签页中打开and your coworkers.

创建者 Pablo S

Aug 20, 2020

Suficiente para iniciarse en el campo de NLP. Creo que es muy clara y precisa la informacion , así también la enseñanza. 100% recomendado para iniciar.

创建者 Bogdan L

Jun 8, 2020

Excellent! Great progression in the presentation of the concepts. The course is very helpful in understanding how Tensorflow helps to build NLP models.

创建者 Krishna T

Jul 18, 2020

Lawrence is amazing , adding graded programming assignments in this course would have been much more fun but still i loved learning these new concepts

创建者 Erdem Ç

Jul 8, 2020

Precise and to the point introduction of topics and a really nice head start into practical aspects of NLP and using the amazing tensorflow framework.

创建者 Karl J

Dec 23, 2019

Course familiarizes you with many aspects of TensorFlow in NLP, and it gives good examples to work from in applications to other sequence base models.

创建者 Upasana P

May 11, 2020

This was my first introduction to Natural Language Processing. I enjoyed the intuitive nature of the lectures and Laurence is a wonderful instructor.

创建者 Nur M H

Apr 13, 2023

Great course for anyone interested in NLP. The Instructor was great! Fantastically deep knowledge, easy learning style, very practical presentation.

创建者 Tina H

May 8, 2020

The analogies were excellent. Topics were broken down into small enough sections, which made it easier to stop and let the information be absorbed.

创建者 Jingying W

Sep 19, 2020

Nice companion course for the Deep Learning course by Andrew! Colab makes it faster to train without worrying about crush my own computer memory ;)

创建者 Anson L

Apr 7, 2023

Nice course, very detail, and step by step!! I love to use colab to have full experiment on the whole process. Very coder approach learning style.

创建者 Sarmita M

Sep 2, 2021

It's an amazing experience! A total overview with a detailing on each and every aspects, really helpful. Thanks to Coursera. Thanks to instructor.

创建者 Jakub W

May 28, 2022

The course is very well set up and maintained. I had a blast completing it... Everything was explained perfectly. Thank you, Laurence and Andrew!

创建者 Eugene L

Jan 23, 2020

I was a bit disappointed that the graded portion, week 4 quiz was largely recycled from earlier weeks. Other than that, it was a solid course.

创建者 Aminur R A

Jul 27, 2021

This is a great course instructed by my favourite person Laurence Moroney. He has a very good srategy of teching e.g easy, simple and modern.

创建者 Hassan A Z

Jul 9, 2020

Great course for beginners in NLP in TF,my only complaint was in some videos the audio was so low that I had to completely rely on subtitles.

创建者 Rukshan J S

May 7, 2020

Explained the stuff really simple, just the way a beginner like myself could get a hang of it. Thank you very much, sir, and thanks Coursera!

创建者 Gurubux G

Sep 24, 2019

Appreciate the simplicity Laurence brings in the complex topics like such. The Hands-on projects are very clear to understand and implement.

创建者 Chien D

Sep 15, 2019

Very great course. I had learned about LSTM, GRU in theory before. And,this course helps me to quickly review and implement these knowleges

创建者 Joerg H

Jul 16, 2020

I really enjoyed this course. For me it was a great introduction to the topic. Well explained and it was also fun to try the examples .

创建者 Lydia N

Jan 6, 2020

All I always wanted to learn about how to solve NLP problems with Tensorflow (Kears). Presented in an easy to follow and engaging way.

创建者 임주영

Feb 28, 2021

Nice lecture, Thanks to Laurence i can understand about total concept of NLP.

I want to study about Deep learning on Coursera. Thanks.

创建者 gnikolitsis

Jan 14, 2023

good in depth analysis of the tensorflow layers(embedding) and text preprocessing(tokenizing) for text generation and classification