I have run a MLP Neural Network using IBM SPSS software and I got in the report summary the "parameter estimates" (the connections weights, I guess).

The analysis gives some insights into why multilayer feedforward neural networks perform well in practice. Interestingly, for ReLU activation function the depth (number of layers) of the neural ...

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 ...

In 2020, the team solved this by using liquid neural networks with 19 nodes, so 19 neurons plus a small perception module could drive a car. A differential equation describes each node of that system.

Instead, neural networks function along an expanding curve, which can be analyzed and understood using hyperbolic geometry and information theory," says Salk Professor Tatyana Sharpee, holder of ...

Memristors work by mimicking key aspects of the way artificial and biological neural networks function without external memory. This property could significantly reduce energy needs in AI, which ...