
U-Net Architecture For Image Segmentation
Image segmentation makes it easier to work with computer vision applications. Here we look at U-Net, a convolutional neural network designed for biomedical applications.
Image segmentation makes it easier to work with computer vision applications. Here we look at U-Net, a convolutional neural network designed for biomedical applications.
This blogpost offers an in-depth insight into the CVPR 2020 paper titled "Improving Convolutional Networks with Self-Calibrated Convolutions"
This article is an in-depth insight into the paper authored by Dai et. al., titled as "Attention as Activation".
Aitextgen is a Python library for training text-generation models using GPT-2 and GPT-3/GPT Neo. In this tutorial you'll get aitextgen up and running quickly in a Jupyter notebook on a free GPU instance from Paperspace Gradient!
We were lucky enough to interview Demetrios Brinkmann -- the founder of the world's biggest MLOps community. He shares with us the origin story of the community as well as some observations on the state of MLOps today.