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Вернуться к Browser-based Models with TensorFlow.js

Отзывы учащихся о курсе Browser-based Models with TensorFlow.js от партнера deeplearning.ai

4.7
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Оценки: 209
Рецензии: 55

О курсе

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....

Лучшие рецензии

AZ

Mar 29, 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.

ZB

Dec 20, 2019

Awesome - elegant in its complex simplicity. Clear explanations, logical curriculum structure, nice and knowledgeable code examples. A must-complete course indeed!

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1–25 из 57 отзывов о курсе Browser-based Models with TensorFlow.js

автор: Zsolt B

Dec 20, 2019

Awesome - elegant in its complex simplicity. Clear explanations, logical curriculum structure, nice and knowledgeable code examples. A must-complete course indeed!

автор: CHIRAG S

Dec 31, 2019

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.

автор: Carlos V

Jan 28, 2020

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.

автор: clement l r

Feb 28, 2020

A great course to learn how to leverage python tensorflow/keras API with Javascript. Also very nice to be able to build a real Web App, in addition of the typical Data Science process. This is handy to showcase the value of Data Science and Deep Learning for real life scenario.

автор: Mo R

Dec 25, 2019

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!

автор: Fabrice L

Mar 19, 2020

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!!

автор: Christian J R F

Mar 08, 2020

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.

автор: Manoj J

Jan 27, 2020

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.

автор: Adnan Z

Mar 29, 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.

Thanks to all.

автор: Steven Z

Feb 24, 2020

Awesome course! This is one of the most practical courses I have taken, and I am looking forward to the next courses in the series. Thanks! - Steve

автор: Saurabh

Jan 02, 2020

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.

автор: Juv C

Mar 03, 2020

I really enjoy working on the programming assignments of this course especially the Week 4 one which is fun and have a lot to learn!

автор: András G

Dec 30, 2019

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

автор: Vladimir V

Dec 18, 2019

Great course! A bit of a learning curve on javascript, but really worth it! The exercise in Week 4 was phenomenal! Thanks.

автор: Peter M

Dec 18, 2019

Last exercise was really difficult to pass! Probably due to overfitting and not generalising to the the test set.

автор: Peter G

Dec 17, 2019

Great videos and nice coding challenges. Would like some more support on various error messages though

автор: Ranvir S

Feb 20, 2020

Great resource to build practical, real-world examples...easily explained with lots of sample code.

автор: Ernesto C

Jan 05, 2020

Excellent! well presented and guided through. A good starting point to begin playing with the tech!

автор: Michael B

Dec 28, 2019

Great introduction on browser-based models. Well presented with great code examples and exercises.

автор: Sayak B

Feb 06, 2020

Good introductory course on Tensorflow deployment. Enjoyed lectures and doing assignments.

автор: piyush t

Mar 08, 2020

Great for a beginner. Projects you can show in interviews can be made using given skills

автор: Adrian P S

Feb 24, 2020

Very nice use-cases for tensorflow in the browser.Little overhead for great experience!

автор: Sushrut A

Jan 04, 2020

Great course to begin with for those who wants to upgrade their deployment methods

автор: Mehmet Y A

Apr 02, 2020

this course was very entertaining and i had so much joy doing its assignments!

автор: Thomas S

Dec 20, 2019

Good and compact introduction on how to use the basic functions of tfjs.