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Natural Language Processing in TensorFlow(으)로 돌아가기

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

4.6
1,033개의 평가
138개의 리뷰

강좌 소개

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....

최상위 리뷰

GS

Aug 27, 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!

AM

Sep 23, 2019

Excellent course. Teaches NLP thoroughly, going from the basics such as tokenization and padding to complex topics such as word embeddings and sequence models (like RNNs, LSTMs and GRUs).

필터링 기준:

Natural Language Processing in TensorFlow의 140개 리뷰 중 26~50

교육 기관: shahin

Jun 29, 2019

Very good fundamental codes and concepts in practice .

교육 기관: Aswin G S

Jun 29, 2019

Helped me in understanding how to use Tensorflow for NLP with Keras API

교육 기관: Saif H

Jul 15, 2019

Excellent course , really enjoyed working on BBC data and learning NLP.

교육 기관: Sergei A

Jul 15, 2019

Love the course .Simple and straight. Looking forward for the next.

교육 기관: Antony L

Jul 18, 2019

Great course.

교육 기관: Bodica S

Jul 20, 2019

Many resources and references, including notebooks with solutions.

교육 기관: Zakaria H

Jul 22, 2019

Amazing

교육 기관: Dharmendra K

Jul 23, 2019

Nice course

교육 기관: Elias P

Jul 23, 2019

Amazing course!

Easy to follow!

Great instructor!

교육 기관: Hafiz F A

Jul 25, 2019

Excellent Learning Material.

교육 기관: Muyide I

Jul 24, 2019

Great, well explained

교육 기관: Prashanth K

Jul 28, 2019

Excellent examples.

교육 기관: Itsido C A

Aug 02, 2019

I enjoyed this course a lot. The concepts are not easy but Laurence the instructor does a really good job at breaking them down with practical examples and concrete implementation of the models with Tensor Flow. I went from knowing nothing in NLP to using cutting edge tools to implement those algorithms. Millions of thanks to our teachers Laurence and Dr Andrew Y.

교육 기관: Sathish G

Aug 10, 2019

There are lot of courses available related to processing image data, but very few on NLP. The course was really good and helped me a lot. It would be helpful if a course is designed specifically keeping in mind the NLP data and the tasks associated with processing text data. If you could please make a video/post/blog on how to perform named entity recognition using sequence models with neural networks.

교육 기관: ARINDAM S

Aug 10, 2019

From coding and practical point of view I have learned a lot in this course about NLP.

교육 기관: Christian J R F

Aug 08, 2019

Great course, interesting exercises and good teaching technique.

교육 기관: Tsang S H

Aug 10, 2019

Nice Course for NLP!

교육 기관: Mahdi P

Aug 12, 2019

Great course to start with NLP using TF Keras. I learned a lot.

교육 기관: Rishiganesh V

Aug 13, 2019

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.

교육 기관: Hardik S

Aug 14, 2019

Brilliantly explained and very good part was the code explanation in Notebook

교육 기관: Eulier A G M

Aug 11, 2019

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.

교육 기관: Desiré D W

Aug 16, 2019

Great course!

교육 기관: Atakan S

Aug 15, 2019

Good stuff, more exercises, interactive quizzes should be added

교육 기관: Sanjay M

Aug 15, 2019

Course explains some of key concept very well, like sequence model to predict next word using existing corpus.

교육 기관: Mahamat M A A

Aug 16, 2019

Thank you so much for such a clear explanation and interesting course.