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学生对 IBM 技能网络 提供的 Building Deep Learning Models with TensorFlow 的评价和反馈

4.4
657 个评分

课程概述

The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures within this type of data. In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems. Learning Outcomes: After completing this course, learners will be able to: • explain foundational TensorFlow concepts such as the main functions, operations and the execution pipelines. • describe how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. • understand different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. • apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained....

热门审阅

ZR

Jul 2, 2020

Deep Learning made me feel that there is a way to build models and classify data so easily and in a skillful way. Amazing course!

DO

May 26, 2020

Not so often i wish a course would be longer and more in depth I really enjoyed using TF I'll look some other courses about it

筛选依据:

76 - Building Deep Learning Models with TensorFlow 的 100 个评论(共 140 个)

创建者 Julien P

Jun 18, 2020

Excellent notebooks. I don't give 5 stars because the quality of videos could be improved and the quizzes could be made tougher. It is easy to pass the class with a superficial understanding of concepts.

创建者 RICARDO H R

Jul 25, 2020

Nice course to introduce you to more advanced neural network algorithms, I wish the evaluations were more challenging and based on practical exercises... there is no final assignment either.

创建者 Hrushit J

May 18, 2020

It would have been nice if the video tutorials would explain the code section as well, and if there would have been some in-depth teaching of the code part. But this course did benefit.

创建者 Jesus M G G

Jan 24, 2020

Videos are good, but the code is more complex than other courses and it needs better description of what is happening, or less complicated code

创建者 Ronan C

May 15, 2020

Good an simple videos to understand the concept. The notebooks are very detailed and give a second layer of knowledge with practical example

创建者 Xiaoer H

Jun 30, 2020

The course concepts are not in-depth enough, and the server for Jupyter notebook running is way too slow...

创建者 Tariq J

Feb 24, 2022

I expected some more explaination for the concepts. However from tensorflow website, more could be learnt.

创建者 Projit C

Apr 1, 2020

The coding part was hard to understand. If that part could also be covered in videos as a tutorial.

创建者 Panos K

Jun 5, 2022

Great introduction to unsupervised learning. However its an easy course with not much to offer

创建者 Javier R

Jul 17, 2020

It would be grate that the examples have been updated to the TF 2.0 version.

创建者 Bakare K

Aug 5, 2022

i loved it. I have an undertsanding of different deep learning models

创建者 srivikram m

Jun 5, 2022

Was a really fun course, but the final assignments were very lengthy.

创建者 Patricio V

Jun 1, 2020

Good material but almost all the labs are too slow to run properly

创建者 Vishwanathan C

Apr 21, 2020

Good introduction to Deep Learning Models with Tensorflow

创建者 Tim d Z

Mar 24, 2020

Very informative, could use some more room for practice.

创建者 Mahesh N

May 1, 2020

Lab content must be updated with latest TensorFlow.

创建者 Armen M

Mar 25, 2020

Thank you. thought it's could be more deeper

创建者 Mpho c

Jan 7, 2020

no audio in the last learning unit 5.

创建者 TIANYU S

May 26, 2020

some questions are a bit confusing

创建者 Bhaskar N S

Apr 4, 2020

Met expectations

创建者 konutek

Feb 2, 2020

It is ok

创建者 Nagesh R

Jun 8, 2020

good

创建者 Roger S P M

Apr 4, 2020

This is a pretty good course on the different types of neural networks and their cousins. The presentation slides are really well done. The examples are programmed in TensorFlow. But the course does not really teach very much about TensorFlow itself. The opening lecture on TF describes it in terms that suggest this was created for TF 1.x, rather than the new structure in 2.x. But that turns out not to be an issue since they go into little detail on TF itself.

The programming examples are really good. However, most of the time, the CognitiveCourse.ai web site on which they run is usually not working. So you often cannot use the labs in conjunction with the lectures. You have to go back and access the labs sometime when the website is working.

创建者 Michael C

Sep 10, 2020

While the lab and videos explained the concepts really well, the codes from the labs are outdated. They are using tensorflow version 1, while tensorflow version 2 (current version) is very different. I have to go outside of this course to learn the new codes.

Other than that, every other aspect of the course is good. explanations are clear, videos and diagrams are very detail. Just the right amount of labs etc

创建者 Simon P

Oct 17, 2020

Lots of code and theory heavy, which is not a bad thing, but there is little thought given over to the actual learning objectives. There is also no real opportunity to practice learning to use TensorFlow. There are likely better tutorials out there, which is a shame because a lot of effort has gone into this course.