A computational model composed of layers of interconnected nodes (neurons) that process data through weighted connections, learning to approximate complex fu...
A computer brain made of tiny connected pieces that work together to figure things out, kind of like how your brain works.
A computer system inspired by the human brain — lots of small parts called "neurons" connected together that learn to recognize patterns.
A computational model composed of layers of interconnected nodes (neurons) that process data through weighted connections, learning to approximate complex functions.
A parameterized function approximator organized in layers of artificial neurons with learnable weights, trained via backpropagation and gradient descent to minimize a loss function.
A directed computational graph of differentiable operators where each node applies an affine transformation followed by a nonlinear activation, trained end-to-end via stochastic gradient descent on a loss surface with complex geometry.
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