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
por A A A•
The instructor Saeed Aghabozorgi did an excellent job in explaining the concepts in a way everything can be understood easily. However, I still think 5 weeks is not enough for this course, given TensorFlow is more difficult to learn than PyTorch. The basics could be covered in more detail, including the tf.get_variable(), tf.gradient(), calculating gradients and other functions that were used. There could be a lecture for Linear Regression and Logistic Regression and these 2 could be moved to a separate week instead. Also, please upgrade the code to work on TensorFlow 2.1. The current code designed for TensorFlow 1.8 didn't work especially the part where datasets are to be loaded.
por bob n•
Four stars because some of the labs (and none of the lectures) have not been brought up to the current version of TensorFlow. There are significant differences between 1.x and 2.x, especially in the paralell processing. I don't expect a course to send me on wild goose chases across the internet having to bring their examples up to current versions. I guess you get what you pay for, no surprise that Big Blue isn't current.
por Michael S•
Very interesting material, and easy to follow along. The notebooks are a great resource. I am glad to have been introduced to these concepts. However, I felt this course was too easy and it did not encourage the student to complete projects or any independent work. In any case, this course was worth taking.
por James R•
I liked the course; however, there was no sound or transcripts for the last week of the course. This required me to research all the topics that I saw on the screen. Still a good learning experience but put more responsibility on me to learn the topics.
por Edward J•
Interesting course but I wish there were more opportunities to add code myself or even a proper task. I was sad not to have videos from Romeo. However, I thought that the explanations of the different deep learning models were very clear.
por 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.
por RICARDO H R•
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.
por 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.
por 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
por 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
por Xiaoer H•
The course concepts are not in-depth enough, and the server for Jupyter notebook running is way too slow...
por Projit C•
The coding part was hard to understand. If that part could also be covered in videos as a tutorial.
por Javier R V•
It would be grate that the examples have been updated to the TF 2.0 version.
por Patricio V•
Good material but almost all the labs are too slow to run properly
por Vishwanathan C•
Good introduction to Deep Learning Models with Tensorflow
por Tim d Z•
Very informative, could use some more room for practice.
por Mahesh N•
Lab content must be updated with latest TensorFlow.
por Armen M•
Thank you. thought it's could be more deeper
por Mpho c•
no audio in the last learning unit 5.
por TIANYU S•
some questions are a bit confusing
por Bhaskar N S•
por Konrad A B•
It is ok
por Nagesh R•
por 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 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.
por 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