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
About this Course
What 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
- Object Detection
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
- 5 stars81.47%
- 4 stars14.33%
- 3 stars2.64%
- 2 stars0.66%
- 1 star0.88%
TOP REVIEWS FROM BROWSER-BASED MODELS WITH TENSORFLOW.JS
The course is extremely fun to learn. Lot of concepts are covered through a practical approach. The teaching of the instructor is awesome.
Overall, the course was good. However, the last programming assignment took a lot of unecessary time even if our code was correct.
Good as a introduction for application based machine learning, however, I think the course should add more realistic example of such interesting process
About the TensorFlow: Data and Deployment Specialization
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