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What is ANN Architecture and Learning Process about?
Artificial Neural Networks (ANNs) consist of interconnected layers: an input layer for data reception, hidden layers for computation, and an output layer for final predictions. Key components include weights, which determine input importance; biases, which adjust the activation function; and activation functions that introduce non-linearity. The learning process involves forward propagation, loss calculation, backpropagation for weight adjustment, and optimization using algorithms like Stochastic Gradient D
- Author
- hassiedward977
- Language
- EN