In this talk, I’ll demonstrate using Julia package Flux and Zygote to reproduce CVPR 2019 paper, Meta-Learning with Differentiable Convex Optimization as an example how convex optimization works together with deep learning technology, particularly meta learning.
In this talk, I will try to implement the algorithm in Meta-Learning with Differentiable Convex Optimization (CVPR 2019) and introduce how convex optimization be connected with the technology of Deep Learning, especially meta learning. As this is a talk about Julia, I’ll use Flux and Zygote as training framework and auto differentiation engine.
About Yin Chen Liao
I’m an open source developer.
Interested in machine learning software development.
I’m also one of founding member of uTensor, which is an open source machine learning library targeting micro controller.