The future of machine learning is tiny
Pete Warden digs into why embedded machine learning is so important, how to implement it on existing chips, and some of the new use cases it will unlock.
Pete Warden
Pete Warden is the technical lead of the mobile and embedded TensorFlow group, in Google's Brain team.
Radar
What is deep learning, and why should you care?
Delving into deep learning and the inner workings of neural networks.
Content
How the TensorFlow team handles open source support
Improving software with the help of a community takes patience and organization.
TensorFlow for mobile poets
Running your image classifier in your own iOS application.
Get started with deep learning in computer vision
Pete Warden walks through popular open source tools from the academic world and shows you step-by-step how to process images with them.
TensorFlow for poets
How to build your own image classifier with no coding.
How to build and run your first deep learning network
Step-by-step instruction on training your own neural network.
How to analyze 100 million images for $624
There's a lot of new ground to be explored in large-scale image processing.
Why you can’t really anonymize your data
It's time to accept and work within the limits of data anonymization.