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.
This course is part of the TensorFlow: Data and Deployment Specialization
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About this Course
Basic understanding of JavaScript
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Train and run inference in a browser
Handle data in a browser
Build an object classification and recognition model using a webcam
Skills you will gain
- Convolutional Neural Network
- Machine Learning
- Tensorflow
- Object Detection
- TensorFlow.js
Basic understanding of JavaScript
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Introduction to TensorFlow.js
Image Classification In the Browser
Converting Models to JSON Format
Transfer Learning with Pre-Trained Models
Reviews
- 5 stars81.47%
- 4 stars14.33%
- 3 stars2.64%
- 2 stars0.66%
- 1 star0.88%
TOP REVIEWS FROM BROWSER-BASED MODELS WITH TENSORFLOW.JS
Awesome - elegant in its complex simplicity. Clear explanations, logical curriculum structure, nice and knowledgeable code examples. A must-complete course indeed!
I found how TensorFlow can be extended to javascript.
Thanks to Coursera and Laurence Moroney for this amazing course.
This course has given me a lot of real world exercises. The lessons are concise yet really helpful to start your web-based AI project.
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!
About the TensorFlow: Data and Deployment Specialization

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