The neural net “employs a feedforward neural network with a precisely calibrated 4-60-12 architecture and sigmoid activation functions.” This leads to an approximate 85% accuracy being able to ...

🧠 Neural Network from Scratch in Python This project demonstrates a minimal working implementation of a feedforward neural network using just NumPy.

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.

Microlens arrays (MLAs) are key components in 3D integrated imaging optical systems, particularly the multifocal MLAs, which provide a new strategy to break through the depth-of-field limitations for ...

🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and ...

Recently, 2-D cross-point array of resistive random access memory (RRAM) has been proposed for implementing the weighted sum and weight update operations to accelerate the neuro-inspired learning ...

A novel neural network for preserving cultural heritage via 3D image reconstruction Date: October 31, 2024 Source: Ritsumeikan University Summary: Relief-type cultural heritage objects are ...

1. This paper proposes a 3D convolutional recurrent neural network model based on the attention mechanism called 3FACRNN, which cascades a 3D feature construction module, a frequency band attention ...