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Master neural networks from scratch with Python

Building neural networks from scratch in Python with NumPy is one of the most effective ways to internalize deep learning fundamentals. By coding forward and backward propagation yourself, you see how ...
IEEE

HSRoadNet: Hard-Swish Activation Function and Improved Squeeze–Excitation Module Network for Road Extraction Using Satellite Remote Sensing Imagery

Abstract: Road information plays an essential role in many fields. To prevent failed extraction of heterogeneous regions, fracture of extracted roads and others resulted from vehicles and trees when ...
eLife

Gβγ engages PLCβ3 at multiple sites to reorient and facilitate its activation

EM, biochemical, and cell-based assays to examine how Gβγ interacts with and potentiates PLCβ3. The authors present evidence for multiple Gβγ interaction surfaces and argue that Gβγ primarily enhances ...
IEEE

Compactly Hardware Implementation of a High-Speed Activation Function Based on Phase-Change Memory in Neural Network

Abstract: Activation function (AF) is a pivotal yet resource-intensive component in artificial neural network (ANN) hardware implementations. Digital AFs offer high accuracy but require data ...