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學生對 deeplearning.ai 提供的 Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的評價和反饋

4.7
3,525 個評分
711 個審閱

課程概述

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 upcoming Machine Learning in Tensorflow 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 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....

熱門審閱

AS

Mar 09, 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?

RD

Aug 14, 2019

Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.

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576 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的 600 個評論(共 710 個)

創建者 Tongxi L

Jul 02, 2019

good introduction, but only introduction is not practice, just classifier from tensorflow dataset is not helpful for real problem

創建者 Juan I Z M

Jul 03, 2019

this is a great intro course but requires the student to be somewhat proficient in ML and DL concepts

創建者 Ganesh M S

Jul 06, 2019

Good course which gives the brief explination on how to use the TensorFlow framework to solve many computer vision problems. This course is designed to such that the beginner too will feel more confident understanding the details of the machine learning techniques.

創建者 Rohan N

Jul 05, 2019

The course structure is very nice. One thing that needs to be improved is that each and every code line should be explained properly instead of explaining the whole block at once.

創建者 Edward C

Jul 08, 2019

Good, but expect more informative.

創建者 Egor M

Jul 07, 2019

I guess, it could be much more than only 4 weeks

創建者 Antariksh P

Jul 10, 2019

Great course but should go in-depth about the functions used. Also, the part about making a custom classifier for multiple categories (more than two categories was missing)!

創建者 Juan F P

Jul 14, 2019

The course was great, and it was a wonderful introduction to Tensorflow, I would like to go beyond the basic, having more technical material that cover the topic more deeply.

創建者 Hamad

Jul 15, 2019

Good introductory course.

創建者 Varun N

Jul 16, 2019

Good beginners course on tensorflow. Could be more detailed as it only covers the surface of few topics.

創建者 Ana E H H

Jul 16, 2019

I learned a lot about image processing, TensorFlow and CNN.

The exercises are useful to practise the coding and concepts.

Thank you

創建者 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

創建者 Clay B

Jul 16, 2019

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

創建者 Christopher M

Jul 20, 2019

Excellent gentle introduction to Tensorflow. With a very efficient ramp up in skillset.

創建者 Warren B

Jul 22, 2019

A good intro to computer vision. You may want to supplement your course with external content to fill in gaps that will differ for each of us.

創建者 Soha S

Jul 21, 2019

Great information delivered in easy to understand lectures with smooth transitions. Having assignments required to pass the course would provide more motivation to spend more time on the hands-on exercises.

創建者 ShIvam R

Jul 23, 2019

Great Course

創建者 Michele D S

Jul 25, 2019

Excellent course for beginners or people experienced in other frameworks desiring to quickly get up to speed with TensorFlow; worth it only if you cram it in a week.

創建者 Aleksandra N

Jul 29, 2019

Not as challenging as I was expecting. Leaves you with some very useful resources, though!

創建者 Kaustubh D

Jul 28, 2019

This is an excellent course to get hands-on. Keeping some tasks as repetitive like those of the callback functions help make the person strongly hands-on and remember them. Just the way, every week's programming assignment involved writing the callback function, if there would be other TF functions/methods that the coder gets to implement and override and other TF abstract classes to extend from, that would have been cherry on top!

Drilling down from the bigger picture of model definition to model.fit seemed extremely useful.

And since there are tons of courses on theory of ML and DL, thank god this one just focusses on coding it out.

創建者 Super-intelligent S o t C B

Jul 31, 2019

Nice course. Gives you and overview of building neural networks. Touches on many subjects, but doesn't dive too deep into them.

創建者 Andrei N

Aug 03, 2019

The course is quite light even for introductory one. At the same time, I enjoyed examples of NN implementations in colab and elaboration on how the code works. The most interesting for me personaly were hints and techics helping to develop a better understending on how the NN are builing its knowlarge on input data. I look forward to checking other courses of specialization out.

創建者 Kaushal D

Aug 02, 2019

This is fantastic stuff, made simple if you have done earlier course of Deep Learning from Dr. Ng this is at another level, I feel little confident that I may be able to code without copy pasting.. hopefully the next course in the series gets introduced serious stuff..

創建者 Jaesu Y

Aug 02, 2019

Great start of AI.

創建者 Egor E

Aug 02, 2019

I like structure and content of this introdactory course. And like the easy and clear way Laurence Moroney told about all this stuff. Particulary, I like clear formulated exercises. During course we got great bulk of working examples in jupiter notebookes, containg full lecture, notes, likns to supporting materials!

What I would improve in course it is the change a litle bit a balance from solving problems to technical implementation. We learn a lot of using CNN for image recognition. However, it would be great to listen in more details about calculating the shape for input and outputs for layers.