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Natural Language Processing in TensorFlow(으)로 돌아가기

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

5,691개의 평가
888개의 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 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....

최상위 리뷰

2019년 8월 26일

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!

2020년 7월 21일

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!!

필터링 기준:

Natural Language Processing in TensorFlow의 891개 리뷰 중 551~575

교육 기관: M. s

2021년 7월 24일


교육 기관: Suci A S

2021년 6월 19일


교육 기관: Alivia Z

2021년 4월 25일


교육 기관: Ahmad H N

2021년 3월 31일


교육 기관: Indah D S

2021년 3월 28일


교육 기관: Johnnie W

2020년 10월 7일


교육 기관: Edgar D J E

2020년 9월 11일



2020년 7월 25일


교육 기관: Estrella P

2020년 7월 16일


교육 기관: Yu-Chen L

2020년 6월 26일


교육 기관: Hyungjune L

2020년 1월 21일


교육 기관: Roberto

2021년 4월 21일


교육 기관: ahmed b

2020년 9월 30일


교육 기관: KEERTHI S

2020년 8월 28일


교육 기관: 林韋銘

2019년 9월 11일


교육 기관: 김윤성

2021년 8월 13일


교육 기관: Ajay T

2019년 12월 18일


교육 기관: Kirt U

2020년 9월 12일

Course material: 5 stars (although it could be more rigorous, this is part of an into to dln with Keras). The course dropped the requirement for code submission which I thought was a bad idea - code submission should be required. Tools: 3 stars - these are standard tools but honestly the tools are still pretty bad (by which I mean you have to use them a bit to get used to them - I have always objected to this is software development and in code I wrote conventional was not relied upon as a requirement).

교육 기관: James P

2020년 8월 3일

The lectures were great. And I liked that there were still examples for us to work through like the previous courses in the specialization. That being said there were frequently concepts that seemed to be introduced in the examples that were never before mentioned and thus seemed out of place as they were not necessary to complete the assignment. It might be helpful to include short introductory statements to some of these so that we can better learn when/why some of these concepts are used.

교육 기관: João A J d S

2019년 8월 3일

I think I might say this for every course of this specialisation:

Great content all around!

It has some great colab examples explaining how to put these models into action on TensorFlow, which I'm know I'm going to revisit time and again.

There's only one thing that I think it might not be quite so good: the evaluation of the course. There isn't one, apart from the quizes. A bit more evaluation steps, as per in Andrew's Deep Learning Specialisation, would require more commitment from students.

교육 기관: Edgar C O

2020년 7월 20일

This a great course on it own, it contains the fundamentals for natural language processing, from the encodings, embeddings and all the process involved before you can actually use the sequences into recurrent neural networks. I was hoping to do more exercises and with a higher difficulty than the ones defined here that are more focussed on the fundamentals. I mean these were good, the pre-processing is always good but I would like more design/program more models.

교육 기관: Ansgar G

2020년 4월 14일

The explanations in the videos are good. And you get a fast intro into NLP with Tensorflow (Keras) with good, working code examples. However, due to the shortness of the course, it lacks quite some depth. The biggest disadvantage in my view is that often the programming exercises are not graded. This course is intended to give you practical skills. Then, the programming needs to be graded and cannot be optional.

교육 기관: Eric L

2020년 12월 11일

Again this course was pretty fast (I'm starting to feel like all four courses together are about the length of one standard course). One downside is there are not graded programming exercises like in the Convolutional Neural Networks course. I learned how to use the text processing tools in the keras API. Also was cool to see how effective the stacked LSTM models are.

교육 기관: Andrei N

2019년 9월 21일

Very detailed step by step tutorials of using Tensorflow with lots of effort to make things as easy to understand as possible. The use cases also quite interesting. A little lack of theory comparing to other courses by Quizzes are quite undeveloped. But that is understandable, because the main goal of the course to introduce Tensoflow.

교육 기관: AbdulSamad M Z

2020년 8월 3일

Gives you a nice overall understanding of what NLP is. There are notebooks to play with concepts. However, this course dials down on the practical aspect (and the theoretical one) even more than the previous course. I think the students will benefit more if more ground is covered on the theoretical aspect of RNNs, LSTMs, and GRUs. Nice course overall.