Chevron Left
返回到 Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

学生对 DeepLearning.AI 提供的 Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的评价和反馈

4.8
19,705 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 course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. 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

OS

Jan 25, 2023

I really liked the course. It was well explained and very interactive. I would like to continue the rest of the courses in the course if you allow me. Thank you. The course has been of great use to me

AS

Mar 8, 2019

Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?

筛选依据:

3451 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的 3475 个评论(共 4,018 个)

创建者 Clay B

Jul 15, 2019

Decent overview, doesn't go too far in depth in anything - provides some links to deeper material but doesn't touch on them.

创建者 Muhibur R C S

Sep 15, 2025

One of the best course out there if you want to learn about the basic of Tensorflow. the course is short, engaging and fun.

创建者 Meet D

Oct 5, 2020

I learned overview of TensforFlow librarby and convoluation layer. Know about classification in computer vision application

创建者 曹杰

May 12, 2020

good set up of examples that allow you to go from the simple case to more advanced cases. a good start point for beginners.

创建者 Dirk H

Nov 6, 2019

The class is good for persons who are new to Data Science and want a practical entry but does not go very deep into theory.

创建者 YASH R

May 7, 2020

Week 4 was not explained as good as other. I still face the problem with the cocept of week 4. Rest everything is great.

创建者 Shabab H

Jun 1, 2019

Week 4 was somewhat disappointing, spent a lot of time in boilerplate codes. Was expecting to learn more about ML ideas.

创建者 Bishmer S

Jan 5, 2021

Brilliant introduction to the topic sadly let down by bugs and errors in the Jupyter notebooks.

Still well worth taking.

创建者 Jayanta S

Jul 4, 2020

The course in itself was great and the exercises were easy. But the sound quality in the videos should have been better

创建者 고종경

May 7, 2020

this lecture provides a good starting for learning Tensorflow.

there are good exercises with doing actual python coding,

创建者 René P

Apr 16, 2020

Had some problems with the automated graders. I had to remove two JS cells from each exercise to get a correct grading.

创建者 Mayukh S

Oct 13, 2019

It has more of keras and less of tensorflow. The course structure is good. A little knowledge of CNNS would be helpful.

创建者 Matt P

Sep 29, 2019

Good intro to Neural Networks, but would recommend going through other Machine Learning courses if a complete beginner.

创建者 Phatarapran S

Aug 9, 2020

Some theories arent explained but overall, as a student, I obtained some experience on making a NN model by tensorflow

创建者 Noel B

Oct 21, 2019

The content of this course is fantastic. The only reason for a four-star review is due to the troublesome auto-grader.

创建者 Kofi D A

Jul 16, 2019

Always amazed at what coursera has to offer..if anything it has given me purpose as to what i want to pursue in future

创建者 Franky L C H

Apr 25, 2019

Very easy to understand the contents especially using the high level API such as Keras. Very recommended for beginners

创建者 Aviral T

May 6, 2021

such a nice course to learn about tensorflow. i used these knowledge o enhance my technical skills as a ML programmer

创建者 AADITYA K

Dec 19, 2019

Good course for beginners. Althoug best resuts will be for those who have come through Andrew Ng's inintial DL course

创建者 Carlos R

Mar 20, 2020

In general the course was nice. I just got some issues dealing with TF 1.x and 2.x. Anyway, I recommend this course.

创建者 Pooya N

Dec 27, 2019

I thought this course is more focused on the basic elements of TensorFlow, but it was very heavy on computer vision.

创建者 Daniel P G

Sep 5, 2019

Very beginner friendly. Evaluation task could be a little more challenging than just copy-pasting the example code.

创建者 Radoslava M

Aug 27, 2019

It is good, only it starts very basic and later assumes a lot of previous knowledge. But overall very informative.

创建者 Alexander B

Mar 17, 2019

I liked the course as it is practice oriented, but 4 weeks is too long for it. 2 weeks would be more than enought.

创建者 Greg K

Apr 13, 2020

There are some issues with code in the graded Juypiter notebooks that keeps the grader from compiling submissions