Explore >> Select a destination
|
You are here 
|
www.ntentional.com | ||
| | | | |
www.khanna.law
|
|
| | | | | You want to train a deep neural network. You have the data. It's labeled and wrangled into a useful format. What do you do now? | |
| | | | |
iclr.cc
|
|
| | | | | [AI summary] This article discusses a new model compression technique for deep neural networks that enables efficient deployment on low-end devices by dynamically adjusting sparsity and incorporating feedback to enhance performance. | |
| | | | |
zserge.com
|
|
| | | | | Neural network and deep learning introduction for those who skipped the math class but wants to follow the trend | |
| | | | |
comsci.blog
|
|
| | | In this blog post, we will learn about vision transformers (ViT), and implement an MNIST classifier with it. We will go step-by-step and understand every part of the vision transformers clearly, and you will see the motivations of the authors of the original paper in some of the parts of the architecture. | ||
