Laurence Moroney
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this first course, you’ll train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
Instructor Details
Courses : 8
Specification: Browser-based Models with TensorFlow.js
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38 reviews for Browser-based Models with TensorFlow.js
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 13 hours |
| Year | 2019 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
FREE
Divyesh M –
good web course
Peter G –
Great videos and nice coding challenges. Would like some more support on various error messages though
Jochen R –
it is very exhausting to pass the tests due to hardware and software prblems, though the programming is very easy
Peter M –
Last exercise was really difficult to pass! Probably due to overfitting and not generalising to the the test set.
Vladimir V –
Great course! A bit of a learning curve on javascript, but really worth it! The exercise in Week 4 was phenomenal! Thanks.
Zsolt B –
Awesome elegant in its complex simplicity. Clear explanations, logical curriculum structure, nice and knowledgeable code examples. A must complete course indeed!
Thomas S –
Good and compact introduction on how to use the basic functions of tfjs.
Desire D W –
In this course you’ll learn how to train and deploy ML model straight in JavaScript, instead of Pythhon e.g. This is helpful for when you want to avoid back end calls to Python e.g. when building web applications. For small applications, this is great. You also learn how to train the model in Python, and then import it in JS making inferences. 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. Do note: Javascript is pretty much prerequisite.
Stephan S –
A lot of coding and only a few ML/AI concepts.
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!
Michael B –
Great introduction on browser based models. Well presented with great code examples and exercises.
Michael –
The course is exciting and very practical. Regardless of the last assignment in course 4 which is not very clear on what is required and whether the samples you are providing are correct, as some of us have low resolution webcams and are dark from Africa. As compared to the Tensorflow in practice, the deep learning team is building momentum. Overall, good work guys. Excited to go to the next course.
Andras G –
I like it. It would be nice to have more practice, to get more experience. The course is good. I would advise to my friends. it
CHIRAG S –
When I took this course, I was already familiar with deep learning in Python, but this course helps me a lot to grab the concepts of javascript and using javascript to train the models on the webserver and also helped in the making of some cool project and more cool project ideas. Much Appreciated. Can’t wait to do the rest of the courses.
Vishal S –
Awesome course with very good content.Thanks Laurence.
Saurabh –
Thanks to Laurence and Andrew for designing such a great course. I learnt a lot from this course and looking forward to learn more from both of you.
Igor M –
Too basic. All exercises are copy paste from the shown examples. All 4 weeks you can complete in just 1.
Taehun K –
Easy
Sushrut A –
Great course to begin with for those who wants to upgrade their deployment methods
Ernesto C –
Excellent! well presented and guided through. A good starting point to begin playing with the tech!
Daniel L S J –
The course is really clear, but I feel that it’s lacking in content.
makafui a –
Awesome
Pavel K –
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
Rainm –
I’ve learned a lot of concepts and do a lot of excises, thanks a lok!
Simon O –
Not as good as previous deep learning courses. The exams could have been a bit harder.
Nick S –
Great introduction to the basic concepts of TensorFlow.js
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.
Thomas A –
Guter Uberblick uber die Moglichkeiten. In Summe zu einfach im Inhalt. Details zur Integration mit TFX waren interessant.
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.
Ashish P –
Wonderful course I have seen ever.
aravind –
Excellent
Sayak B –
Good introductory course on Tensorflow deployment. Enjoyed lectures and doing assignments.
Oishee B H –
This was an awesome course with everything well explained and with some really cool projects.
Guillermo P T –
It’s a super interesting course but at it end it feels that it’s too easy. I think it could be more challenging either on the depth of the konwledges taught or in the complexity of the exercices. But as a quick introduction is nice.
Carlos C E –
Good basic concepts explanation, but so much copy/paste exercises between them. However, you can learn the main uses and it is a perfect start point.
Jamie N –
Fun course!
Igor B –
Good course, but coursers with Andrew NG himself writing on the blackboard are much better
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.