AS
8 de mar. de 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
13 de ago. de 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.
por Girish J
•5 de jun. de 2021
T​he course is good for getting started with Tensorflow and Keras. But, I think the portion where each convolution was visualized, in the later assignements, could be explained in more detail.
por Antoni-Joan S L
•14 de sep. de 2020
Una muy buena introducción con bastantes ejemplos y notebooks para experimentar por tu cuenta. He echado en falta tal vez algo mas de dificultad, de profundidad, pero para empezar es perfecto!
por Bram V
•11 de abr. de 2020
Love the material, Laurence is a great instructor. There were some strange technical issues with the exercises that should be improved, but other than that I've learned a lot! Thanks guys :)
por Taner D
•8 de nov. de 2020
It is a very good introduction course with ample opportunity to go deeper with hands-on exercises. It will be a 5 star course if the memory problem in the last exercise is better explained.
por Maheen S
•1 de mar. de 2020
The course should included some information of how the hyper parameters of different models should be tuned and what are their effects.
Apart of that, the course was very comprehensive !! :)
por M.seyam
•3 de nov. de 2021
i think this a very important course for the people who want see deep learning in action. Tensor flow is very practical tool and the instructor explain it very well. thanks for every thing
por Mat N
•6 de jul. de 2022
Good Intro, esp for people who want hands on without writing much code from scratch. A lot of learn, watch and reuse examples. Overall great intro to the concepts and building components.
por Alisa K
•13 de may. de 2021
Great instructor, quite engaging and fun material, but it's a bit too high level. Also, if you've already had some experience with TF or Keras, this course will be way too easy for you.
por Tareq T
•13 de mar. de 2022
actually, we get the introduction from a practical prespective more than a theoritical one, but overall it was so useful and helpful for me, thanks for this effort, big love from Egypt
por Nitin
•22 de feb. de 2020
Great intro to TensorFlow and Deep Learning for the typical software engineer. Week 4 could have been a bit more detailed - Week 4 tries to cover too many stuff. Week 5 recommended :)
por VASANTH K E S
•11 de may. de 2020
It was a really nice introduction to deep learning , And the Course was broken down to be simple for beginners . Eagerly waiting to complete the next 3 Courses in this Specialization
por Trisha N
•18 de oct. de 2019
This course gives a good introduction to tensorflow with explanations of each parameters used be it layers or filters. It mainly gives an experience of hands-on course on tensorflow.
por Eric L
•29 de nov. de 2020
This course was very easy and only took a few hours to complete. That said, I felt like I learned something about TensorFlow so it was worth spending a few hours working through it.
por Azba S
•23 de oct. de 2020
First of all the video lectures were greatly informative and I was able to understand in one go. The extra exercises for getting hands-on was very helpful. Very nicely built course.
por SOUMYAKANTI M
•4 de dic. de 2021
It is an excellent course which makes us familiar about the utility of the Tensorflow in building the NN. Also, it briefs about the utility of CNN in handling large amount of data.
por Voltaire L
•21 de dic. de 2020
Really good high-level overview of basic machine learning. But I highly recommend doing your own studying and using this to enforce what you've learned to really get a grasp on it.
por Alex S
•31 de dic. de 2021
Very nice introduction to neural networks with Colab, TF. Keras. Labs had minor glitches but it's okay as some troubleshooting experience would never hurt for better understanding
por Balaji K
•17 de may. de 2020
Errors like "Can't compile the student's code. '>' not supported between instances of 'NoneType' and 'float'" just because of usage of "acc" vs "accuracy", somehow could be fixed.
por Rohan N
•5 de jul. de 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.
por Anas A
•12 de feb. de 2022
some labs namely week 3 should be updated so that the alot of error of the student could not came and students had not to wast allot of time just to debugging in the perfect code
por Ara B
•15 de ago. de 2019
easy to follow videos. great paste on code walkthrough. the notebook running environment needs to be turned to use correct tf versions. there are a lot of confusion in that area!
por GEORGE J
•15 de dic. de 2019
The course content seemed to be fairly less. For people with prior knowledge in tensorflow, it acts a quick refresher. The tests were pretty easy, hoped for something difficult.
por Vardhan D
•24 de may. de 2019
Its a good introduction for beginners to tensorflow library. I would suggest first clearing your fundamentals of machine learning and computer vision before taking this course.
por Uyanga
•31 de ago. de 2020
It is very good introductory course, however, it doesn't dive deep into the math behind the concepts or the other codes in the notebooks. But definitely a good starter course.
por Juan F P
•14 de jul. de 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.