The LSTM networks have high performance in solving the vanishing gradient problem that is observed in recurrent neural networks. Performance investigations were carried out utilizing three distinct ...

In this paper, we design a few-shot Siamese Neural Networks combined with pre-trained models, such as VGG16, ... on the similarity between the pair of images using a comparatively small dataset and ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification ...

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! # ...

Two RIKEN researchers have used a scheme for simplifying data to mimic how the brain of a fruit fly reduces the complexity of ...

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the ...