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
Excellent presentation of material and lab examples.
Final assignment is really inspiring and motivating. Thank you for putting effort to design such content.
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.
course contents are good and explained very well with one problem of audio, audio is not clear and pitch is low but I like this course. as a beginner, this course is best.
About the TensorFlow: Data and Deployment Specialization
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