Step-by-step coding a full deep neural network with zero libraries — just logic and Python. #NeuralNetwork #PythonCode ...

Step-by-step coding a full deep neural network with zero libraries — just logic and Python. #NeuralNetwork #PythonCode #DeepLearning ...

A revolutionary microscopy method called LICONN enables scientists to reconstruct brain tissue and map synaptic connections ...

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

Abstract: This paper explores the application of various deep learning-based detection networks in the field of metal surface defect detection. The study focuses on the performance comparison of three ...

In this whitepaper, Nevion puts forward the case for deploying shared spine-leaf (“purple”) network architectures in all but the very smallest networks, as they best support requirements such as ...

This paper addresses a valuable research question on the heritability of the brain's response to movie watching, given various parameters such as regional spatial hyperalignment and BOLD frequency ...

RJ-PINNs, introduced by Dadoyi Dadesso, is a pioneering framework using Jacobian-based least-squares (TRF) to directly minimize residuals without traditional loss functions. This method is the first ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.