Shuffle Attention for Deep Convolutional Neural Networks (SA-Net)
This article gives an in-depth summary of the ICASSP paper titled "SA-Net: Shuffle Attention for Deep Convolutional Neural Networks."
4 years ago
PyTorch
By
Bharath K
How to Train A Question-Answering Machine Learning Model (BERT)
In this article, I will give a brief overview of BERT based QA models and show you how to train Bio-BERT to answer COVID-19 related questions from research papers.
4 years ago
A Comprehensive Guide to the DataLoader Class and Abstractions in PyTorch
In this post, we'll deal with one of the most challenging problems in the fields of Machine Learning and Deep Learning: the struggle of loading and handling different types of data.
By
Vihar Kurama
Efficient Channel Attention for Deep Convolutional Neural Networks (ECA-Net)
In this article we'll dive into an in-depth discussion of a recently proposed attention mechanism, namely ECA-Net, published at CVPR 2020.
4 years ago
GhostNet (CVPR 2020) in PyTorch and TensorFlow
In this post we'll take an in-depth look at feature maps in convolutional neural networks, do a thorough review of GhostNet, and break down the code in PyTorch and TensorFlow.
4 years ago
