Abstract: Hyperspectral image classification (HSIC) has been considerably improved by many lightweight and efficient networks developed to meet real-time application needs and computing resource ...
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Neural network Python from scratch with softmax
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
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Backpropagation in neural networks step-by-step explained
Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...
A public API for HNG Stage 1 task that classifies a given number by identifying its mathematical properties (prime, perfect, Armstrong, parity, digit sum) and retrieves a fun fact using the Numbers ...
A complete, straightforward digit classification project built with PyTorch, featuring CNN-based training, evaluation metrics, confusion matrix visualization, and XAI using Grad-CAM. A Simple MNIST ...
A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks
Abstract: Shifts in data distribution across time can strongly affect early classification of time-series data. When decoding behavior from neural activity, early detection of behavior may help in ...
1 Very Large Scale Integration Laboratory, Department of Electronics Engineering, Politecnico di Torino, Torino, Italy 2 eBrain Lab, Division of Engineering, New York University, Abu Dhabi, United ...
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