Neuron
A basic computational unit in a neural network that receives inputs, applies weights and activation, and produces output.
In-depth explanation
A neuron (or node) receives inputs from other neurons or external sources, multiplies each by a weight, sums them with a bias term, and applies an activation function to produce output. Neurons are organized into layers, and the collective behavior of many neurons enables neural networks to learn complex patterns.
Examples
Related terms
More in Neural Networks
Neural Network
A computing system inspired by biological neural networks, consisting of interconnected nodes (neurons).
Activation Function
A mathematical function that determines the output of a neuron based on its weighted input sum.
Backpropagation
The algorithm for calculating gradients of the loss function with respect to network weights.
Epoch
One complete pass through the entire training dataset during model training.
Batch Size
The number of training examples used in one iteration of model training.
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