Resources

Tutorials

Tutorial: Image Segmentation

How to use Foundations Atlas & TensorFlow to perform image segmentation with deep learning

Tutorial: Deepfake

Audio Detection

Contribute to the ML community’s efforts to build better detectors for audio deepfakes

Walkthrough: Speech Synthesis

A technical overview of our text-to-speech system, RealTalk 

Walkthrough: Supernova Detection (Open Source)

Using convolution neural nets for supernova detection

Talks, conferences and more

ML Papers Explained: BERT

Presented at the Toronto Deep Learning Series in November 2018

Learning About ML: Best Resources

A Q&A with Dessa ML engineers hosted by YK Sugi of CS Dojo.

ML Papers Explained: DDQN

Presented at the Toronto Deep Learning Series - Foundational Stream in February 2019.

ML Papers Explained: Attention Is All You Need

Presented at the Toronto Deep Learning Series in October 2018

ML Papers Explained: Principles of Riemannian Geometry 

Presented at the Toronto Deep Learning Series in August 2018

ML Papers Explained: Neural Ordinary Differential Equations 

Presented at the Toronto Deep Learning Series in January 2019  

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