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Back to Browser-based Models with TensorFlow.js

Learner Reviews & Feedback for Browser-based Models with TensorFlow.js by DeepLearning.AI

4.7
stars
827 ratings
186 reviews

About the Course

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....

Top reviews

EJ
Mar 17, 2021

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.

AZ
Mar 28, 2020

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.

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176 - 185 of 185 Reviews for Browser-based Models with TensorFlow.js

By Jeremy O C M

Apr 27, 2021

the submission grader for all of the weeks need to be updated.

By check l

Apr 4, 2021

Explain the accuracy requirements for the assignments

By Abungu B O

Nov 1, 2020

ohh the last assignment on rock paper and scissors

By Stephan S

Dec 23, 2019

A lot of coding and only a few ML/AI concepts.

By Jochen R

Dec 17, 2019

it is very exhausting to pass the tests due to hardware and software prblems, though the programming is very easy

By Vitalii K

Dec 16, 2020

A lot of explanation of obvious things. Also, excercises are low quality, with Week 3 and 4 quite hard to pass because of technical issues. Week 3 - need specific versions of the libraries, which are not provided, without which "the model is invalid". Week 4 - quite hard to collect training samples for the model to reach required accuracy, since the app crashes after ~200 examples and wipes them out - you have to start again.

By Yoni K

Jun 25, 2021

So many technical issues!

90% of the time I dealt with technical issues such as make the web server run my code.

The course itself was very short and easy.

By Musalula S

May 2, 2020

The course content is very good but the instructions on how to install Tensorflow 2.0 and Tensorflow.js in python 3 are not clear.

By Indira P

May 12, 2021

The assignment system was sooo frustrating and wasting my time. Please fix it..

By szymelfenig

Oct 11, 2020

week 4 submission....