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?
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.
The course speed is relative high for an introduction. I, personally, have covered most of the contents using Keras's master book "Deep Learning with Python". I would have expected more insights into TensorFlow and not out-of-the-shelves code using Keras sequential models to play around.
por Aleksandr F•
Course materials are great, but there is a minor mismatch between Jupyter and Collab in versions of code and TensorFlow, as well as some comments in code, do not match the actual code below in constants. So it would be good somebody could check it through to make sure all is right.
por Alen B•
A bit bored of only doing image recognition in every TensorFlow tutorial under the sun, including this course, as if there are no other problems to solve with it. The title is so broad that frankly I was expecting a bit more for the money than just doing image recognition.
por Li P Z•
Instructor does sound job of explaining how to use TensorFlow for deep learning. Compared to Andrew's courses, much less content in the videos and exercises. I feel that much more thought and effort could have gone into this course, just look at how verbose the name is.
por alex c•
it would be ok if this course were free but it's not. there are technical mistakes in the multiple choice quizzes and the mandatory programming tests. some important topics are left unexplained while some are repeated unnecessarily. check the forums for more feedback.
por Nimit J•
Though it does give you a good introduction how to make neural networks, i felt that this course doesn't explain the Keras API library, which makes it difficult to remember and understand how things work.
I hope further courses in the specialization take care of that
por Giovanni C•
I feel there are gaps in this course. But it was still worthwhile going through the material, to reinforce certain concepts. I had the impression that the course was initially classified for beginners, and that later on that classification was modified to advanced.
por Jan B•
Rather basic, but the learner can strengthen it by broadening his reading. What I missed most is a conceptual introduction of what Tensorflow is and does.
I did not take the Deep Learning specialization before this one. Maybe that would have made a difference.
Good introduction but lacks materials and practice to use after the class. Most of the materials its only referral. The trainer is good, except very shot videos and the setup on your pc are not discussed. But generally enoyed the lecture and learned a lot.
por Carlos A V P•
This course is simple in comparison with the Deep Learning Especialization, However you can learn new things like training from folders and using callback for early stopping. I consider the course is of, but the course use Keras and not tensorflow directly
The graded programming assignments are a little too ambiguous for beginners. They should really spend a day or two and model their programming assignments after the way that Andrew Ng did his programming assignments in the Deep Learning Specialization.
por Edward D•
The homework is not designed well:1. The notebook is inconsistent with the colab env, and there are always problems here and there due to the inconsistency in tf version. 2. All 4 homeworks are similar, and it's simply a copy of the video lectures.
por Arif O•
Not at the level of the courses from Andrew Ng. I expected it to be more about TensorFlow API than machine learning concepts. It tries to do both and does not excel in any. Got some stuff out it but you can probably say that by any course.
por Venkata N S H N•
The course was comfortable to handle, explanations were were apt to the contents of the course, resources provided as reference were also really nice and apt, only felt that the course was a bit basic and well suited well for beginners.
por Wenyu Y•
A solid course, but if you have already take the deep learning specialization by Andrew Ng, there won't be too much new stuff for you. Callbacks and ImageDataGenerotor are new things for me, but I think they can be covered very quickly.
por Nitish R D•
The programming assignments are vague and should be improved. The course lacks explanation content. It's more of a 'Don't question, Just follow along' tutorial. However, what is taught is presented neatly and clearly by the instructor.
por STEFANO F P•
I understand that now Keras is inside TF 2.0 but the name of the specialisation is quite confusing. Here you learn how to use the high level API Keras not just the lower level TF. Really easy course, finished in less than a day.
por Ayush M•
Course Material not detailed enough and expected more from it. It does not contain enough variety in exercises and lacks a lot of concepts.
Anyone with good learning (and "overfitting") can complete 1 course in a day or two.
por Mayur K•
it was good but there is scope of providing more thereotical contents along with videos for the concepts beyond the scope of this course so one could get better familiar with the terms (e.g adam. cross entropy)
por Naman B•
The course is very easy for anyone who has taken other deeplearning.ai courses. The course do has good and polished material but it is very small to be called as a course. Also there should be code based exams.
por Jose L A C•
The theoretical concepts are too basic, the sample code to learn tensorflow are quite repetitive. I think the course should be much more dense both in DNN theory and in programming to worth the money.
por victor K•
A nice intro but very basic. Would have liked not using the keras api to have fewer things abstracted away. Then keras is a nice convenience once you fully understand what it is doing under the hood.
por siddharth J•
I felt the instructor is going too fast without covering the concepts of Neural networks, CNN and basics. Or maybe i need to take a supplement course for statistics and Neural networks by Andrew NG.
por Hasan E E•
A very good introductory course, however the algorithms working under Tensorflow was omitted heavily. Some technical background on how these algorithms work would enhance the quality of the course.
por Stefano T•
content and teacher are great!
google collab and the submit process is tedious because of the hidden restrictions (memory space, computation power) and the bugs of the exercise submission tool