Viraj Deshwal – Medium

Published in Analytics Vidhya

·Sep 26, 2019

Optimizing arch64 Edge devices for Maximum Performance on ML

For a Deep Learning engineer it is comfortable task to train heavy models in cloud infrastrucrue such as Amazon AWS which offers high performance computing engine in EC2 and Sagemaker along with the feature such as model hosting. But when it comes to deployment of same heavy models onto edge…

Deep Learning

4 min read

Optimizing arch64 Edge devices for Maximum Performance on ML

Deep Learning

4 min read

Sep 5, 2019

Building MxNet for Arch64

Apache MXNet is a fast and scalable training and inference framework with an easy-to-use, concise API for machine learning. MXNet includes the Gluon interface that allows developers of all skill levels to get started with deep learning on the cloud, on edge devices, and on mobile apps. …

Machine Learning

3 min read

Machine Learning

3 min read

Jul 16, 2019

Japanese vs Korean girl Classification Challenge

Japanese vs Korean girl Classification Challenge Hello Everyone, My name is Viraj Deshwal. I am sharing a blog for the classify the ethnicity of Japanese and Korean girls(no offense). …

Machine Learning

3 min read

Japanese vs Korean girl Classification Challenge

Machine Learning

3 min read