Mar 09, 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?
Aug 14, 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 Rafael R C•
Mar 25, 2019
Me gustó el curso, muy explicativo y lleno de recursos, aunque solo rasca la superficial. Hay muchas cosas mas por aprender. Los foros no reciben respuesta tan rápida. Si bien es cierto google Colab, ayuda a esta tareas, cuando se quiere pasar al computadora personal se complica por versiones o librerías faltantes.
por Nikolay R•
Sep 11, 2019
Very, very basic course for absolute beginners. It makes sure you know enough to build and train models for simple image recognition tasks. 4 weeks is a crazy long period for it, though. I finished it in 2.5 days (I have previous exposure though), but even a beginner should be able to do it in 1 week.
por Mashood M M•
Dec 05, 2019
This course although thought me the basics of DNN but there can be improvements in the code (notebooks) and in the videos as they only tell the abstract part of the concepts. Overall the course was great it helped me alot from knowing what is keras to the journey of building my own model. Thanks
por Aman G•
Mar 22, 2020
Wish it was a little more in depth about things that it taught. It was a very high level overview. Considering that it's a beginner, may be that is how it should have been. But I personally would have liked to learn things in-depth. Kudos to having us do lots of practical assignments!
por Vaibhav G•
Dec 01, 2019
The course content was really good. But as greed for more never ends, it would be great if we could be able to shed some more light on few gray areas like in what situations we should go for 64 filters or 32 filters, how to determine size of the hidden layer in terms of neurons etc.
por pavan b g•
Mar 15, 2019
Thanks to Laurence and Andrew for the sharing there knowledge which have all the foundation requires to get the AI understanding using Tensorflow , keras. Simply awosome .
This is really a refresher for those who already are into datascience field, even for the aspiring students too.
por Kaushal D•
Aug 02, 2019
This is fantastic stuff, made simple if you have done earlier course of Deep Learning from Dr. Ng this is at another level, I feel little confident that I may be able to code without copy pasting.. hopefully the next course in the series gets introduced serious stuff..
por Ganesh M S•
Jul 06, 2019
Good course which gives the brief explination on how to use the TensorFlow framework to solve many computer vision problems. This course is designed to such that the beginner too will feel more confident understanding the details of the machine learning techniques.
por Ruchit N•
Mar 01, 2020
This course actually gives you hands-on coding deep neural networks starting from very basic ANN to image classifier. The explanation is easy to understand and is more focused over practical part which is very important. Overall the course is an excellent starter.
por Nader A•
Aug 15, 2019
This was very helpful , I gained some new information.
I can not believe that I finally used the famous tensorflow library , and this is my first time to do picture classification.
This course leaved me with some questions that I will try to research.
por Philippe K•
Mar 26, 2020
Nice introduction. Tests are too easy. Exercices are easy too, but still is fine, rather I prefer them to be more challenging (like: 'try to play with number of epochs and other parameter to achieve 99% accuracy for example ' and do not guide to much).
por Niranjan M D•
Mar 08, 2020
I loved the fact that it was more hands-on than theoretical. Although I did expect some more explanations on some parts.. but the suggested links were good enough for those parts.. Overall, I loved it. Lawrence is really good at what he's doing.
por Jay M•
Aug 24, 2019
Not being able to run the notebooks on Coursera was frustrating. Fortunately, running them on colab wasn't difficult - just an unnecessary impediment.
Was nice to see some of the more abstract deep learning terms be put to use fairly easily.
por Yueqi W•
Aug 11, 2019
May be provide resources to learn some senior grammar knowledge for python, because basic knowledge for python does guarantee we could understand the code perfectly, but simply remember its form in case of a particular complex line of code.
por Stephen B•
Apr 11, 2019
Good course, somewhat easy, but I anticipate a lot more new and interesting and useful stuff in the remaining sessions yet to be offered. It would be good to point out what is now Tensorflow 2.0. I anxiously await the new material. Thanks!
por Rami K•
May 29, 2019
Great course, excellent contents. I would have loved more smooth intro about the generator as I found we suddenly went to talking about this generator without prior introduction. To be honest, I still cant see the value of this generator!
Mar 26, 2020
Very conceptual course, with few exercises to help you learning how to build a basic convoluted neural network to a dataset of images. I enjoyed it, also because it provides many sources to use if you want to dive deeper on your own.
por Wenjing L•
May 03, 2019
I learnt PyTorch prior to TensorFlow. Still found this course is very helpful. Thanks to the instructors. The only thing is, I wish all the reading links could be listed down on one page, and all the notebook links arranged together.
por Mohamed S R I•
Sep 22, 2019
Laurence is an expert in this field. The material covered in this course is relatively basic, but I think it is a good introductory course for TensorFlow. I was expecting more / elaborate material for the graded assignments, though.
por Mohammed F•
Apr 26, 2019
I took this course for the more low-level API in TensorFlow since I already had experience with Keras. But it was still a fun course to watch and an excellent start for people who are just beginning their journey in Deep Learning.
Aug 26, 2019
The week four programming exercise needs some improvements. I can not unzip the data, so I had to download this exercise and finished it in local environment. Finally, I hope some videos can have Chinese subtitle in the future.
por Brian ( B•
Oct 16, 2019
very practical courses with examples. May address some knowledge on NN architecture design, such as why place an additional flatten layer before the final layer. Some cases, we didn't need such layer and the reason why?
por Karthik P•
Jun 20, 2019
The course gives a good insight in various aspects of computer vision, using tensorflow. It is also a great platform to exercise tensorflow 'online' using Google Colab- an interesting interactive documentation.
por Soha S•
Jul 21, 2019
Great information delivered in easy to understand lectures with smooth transitions. Having assignments required to pass the course would provide more motivation to spend more time on the hands-on exercises.
por HAMID S•
Jun 16, 2019
I did get excited about Data generator option , just give the directory of images and it will label automatically for us ! cool .Working on complicated data was also cool looking forward to next challenge !