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
I wish to complete specialization soon, eager to learn how model deployment work in actual practice,
Thanks for the instructor to guide such an easy way
Excellent course!!! It is actually a milestone for people like me who have trained models in Jupyter notebooks, but Tensorflow JS is actually a great way for the models to become 'alive'! Thanks!
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.
Excellent presentation of material and lab examples.
Final assignment is really inspiring and motivating. Thank you for putting effort to design such content.
About the TensorFlow: Data and Deployment Specialization
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