7 useful Deep Learning Frameworks To Make Your Life Easier
Power Up your Deep Learning Development
Why write custom functionality when a framework can do it for you? Frameworks are the best friends and life saviors of developers. In my opinion, a good project makes use of the best frameworks available. Here I have compiled a list of 7 Deep Learning frameworks that will help you in your development journey.
1. mxnet
This is one of the most starred frameworks with more than 20k stars on GitHub. This is a portable and lightweight deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, this framework contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. It also includes a graph optimization layer on top of that makes symbolic execution fast and memory efficient.
