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
![Speaker Yin Chen Liao's avatar](https://pretalx.com/media/avatars/77029199_3289569097752082_378010869268742144_n_uakGVpk.jpg)
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.