Explore >> Select a destination

You are here

 attardi.org
How I Shipped a Neural Network on iOS with CoreML, PyTorch, and React Native
| | petewarden.com
Why GEMM is at the heart of deep learning « Pete Warden's blog
4.6 parsecs away

Travel
| | Photo by Anthony Catalano I spend most of my time worrying about how to make deep learning with neural networks faster and more power efficient. In practice that means focusing on a function called GEMM. It's part of the BLAS (Basic Linear Algebra Subprograms) library that was first created in 1979, and until I started...
| | towardsdatascience.com
Interpretable Neural Networks with PyTorch - KDnuggets
2.2 parsecs away

Travel
| | Learn how to build feedforward neural networks that are interpretable by design using PyTorch.
| | kavita-ganesan.com
A Gentle Introduction to Deep Neural Networks with Python - Kavita Ganesan, PhD
3.2 parsecs away

Travel
| | This article examines the parts that make up neural networks and deep neural networks, as well as the fundamental different types of models (e.g. regression), their constituent parts (and how they contribute to model accuracy), and which tasks they are designed to learn.
| | blog.paperspace.com
Image Classification with Attention
11.5 parsecs away

Travel
| Follow this tutorial to learn what attention in deep learning is, and why attention is so important in image classification tasks. We then follow up with a demo on implementing attention from scratch with VGG.