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Building Deep Learning Models with TensorFlow に戻る

IBM Skills Network による Building Deep Learning Models with TensorFlow の受講者のレビューおよびフィードバック



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....




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!



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


Building Deep Learning Models with TensorFlow: 76 - 100 / 139 レビュー

by Julien P


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.



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.

by Hrushit J


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.

by Jesus M G G


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

by Ronan C


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

by Xiaoer H


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

by Tariq J


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

by Projit C


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

by Panos K


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

by Javier R


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

by Bakare K


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

by srivikram m


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

by Patricio V


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

by Vishwanathan C


Good introduction to Deep Learning Models with Tensorflow

by Tim d Z


Very informative, could use some more room for practice.

by Mahesh N


Lab content must be updated with latest TensorFlow.

by Armen M


Thank you. thought it's could be more deeper

by Mpho c


no audio in the last learning unit 5.



some questions are a bit confusing

by Bhaskar N S


Met expectations

by Konrad B


It is ok

by Nagesh R



by Roger S P M


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 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.

by Michael C


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

by Simon P


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.