This course is very practical and interesting.\n\nI enjoyed the excitement I got along the way.\n\nIt was modeled to make you pass as long as you want to pass.\n\nThank you Laurence and Andrew.
No doubt, the team of Deeplearning.AI is building best learning resources. We would love to get more and more resources for easy way learning from DeepLearning.AI Team.\n\nThanks to all.
By Desiré D W•
Format is perfect: short videos, assignments are a handfull, especially the last one. The code you'll get is a great reference for later on.
The course itsel is a very good introduction how to use Tensorflow models in browser. It will suit well for people with basic JS and ML knowledge. The assignments and projects are quite fun. However there are things to improve:
1) A few questions in quiz are syntax-related and boring. It is absolutelly not fun trying to find difference in bracket or comma
2) Most of the assignments are very similar to the examples, a lot of them could be solved with mere copy-paste without real understanding
3) Final project crashes on Windows if number of samples are > 50. Very frustrating, especially when you collected almost all the samples
By CHIRAG S•
By Zsolt B•
Awesome - elegant in its complex simplicity. Clear explanations, logical curriculum structure, nice and knowledgeable code examples. A must-complete course indeed!
By Marcin Z•
Exercises in this course are on the monkey level.
By Carlos V•
Excellent Course, I have fun !!! implementing the projects, I also enjoy the format with the labs where you need to apply some modifications to what was taught to get an entirely new project, It demonstrates the capabilities of tensorflow and modularized code. Thanks to everyone that worked on this Course, now to the next one.
By Fabrice L•
The lecture content is clear, the quizz are not very interesting, and the assignments mostly are copy paste of the exercises, so not much challenge there.
I give 5 starts because despite all that the example applications are really cool!!
By Hrishabh D•
Very insightful and helpful course for front end web developers who want to get started with deep learning through TensorFlow. Quizzes and assignments are up to to the mark as well. Can learn a lot through this course. Also pretty good for people who want to learn about transfer learning. That is what grabbed my attention to the course in the first place itself.
By clement L R•
By MOUAFEK A•
After spending more than a year learning Machine Learning and Deep Learning, now i'm finally able to deploy my models in very simple and efficient way, which will help me tackle my next professional challenge, which is deploying my internship models using Tensorflow.js !
By Gowthaman S•
The course was neat and clear in terms of details on Tensorflow JS. A bit more details on what are the practical area where this is used at the moment could have been useful. But of course, we can find it on our own. :)
By Adnan Z•
No doubt, the team of Deeplearning.AI is building best learning resources. We would love to get more and more resources for easy way learning from DeepLearning.AI Team.
Thanks to all.
By Siddhartha P•
I thoroughly enjoyed this course and also the programming assignments. It would have been better if the machine requirement for the final assignment was already informed in advance. My humble laptop was not able to execute it and was giving memory error. Fortunately I could borrow a friend's laptop with Nvidia graphic card and could finally finish it. Got to learn a lot! Thanks for developing this course.
By Ka M W•
A very well structured course with many concepts clearly described and elaborated. Laurence explains the topics very well and is one of the best instructors to share complex concepts in an easy to understand way.
Room for Improvements: The grading mechanisms for weekly exercises can be confusing and difficult to understand why a submission failed. Seems a lot of TensorflowJS and TensorFlow version specific dependencies. Be careful!
By Rick T•
By Abhinandan R•
By Rene A M•
Great course. Really concrete! As it is stated on the description it focuses on deployment. You'll have to learn deep learning elsewhere. The course doesn't go into much depth, but I find that it equips with the necessary essentials to go and try interesting projects by yourself. I really recommend it!
By Mo R•
This is one of the top courses for deploying Deep Learning models and putting them into production, the material is coherent and easy to understand, and the lectures and very clear and straight forward. Thanks to Laurence Moroney, Andrew Ng, and Coursera!
By Christian J R F•
I have learned many things in this course. Tensorflow.js is really interesting and here they explain very well how to train, convert and test on the browser the models. The exercises are good and the evaluation a good practice.
By Saumil S•
Exceptional Course! Very fun and east to learn! I was so excited that I finished this course in less than a week!!
Cheers to Laurence Moroney, Andrew Ng, and the whole team of deeplearning.ai, Google Brain, and Coursera!!
By AKSHAY K C•
Very nicely course composed by Laurence Moroney for running models on the browser using TensorFlow-js with end to end implementation of the project in the final week. Kudos to the entire team for such a good course.
By Ammar M•
As expected, another amazing course from Deeplearning.ai and the instructor, Laurence, gives a great intuition and makes you feel comfortable while taking this course. Will certainly complete the specialization.
By Manoj J•
I completed the "deployment of TensorFlow on browser" course and its really helping me a lot to build my confidence in deep learning. Thank you for this course and very well explained examples and exercise.
By Juan S S G•
Excellent course!!! It is actually a milestone for people like me who have trained models in Jupyter notebooks, but Tensorflow JS is actually a great way for the models to become 'alive'! Thanks!
By Enudeme J•
This course is very practical and interesting.
I enjoyed the excitement I got along the way.
It was modeled to make you pass as long as you want to pass.
Thank you Laurence and Andrew.