AI GlossaryNeural NetworkENTRY — Neural Networks
[Neural Networks]
Neural Network.
A computing system inspired by biological neural networks, consisting of interconnected nodes (neurons).
In-depth explanation
01Artificial neural networks process information through layers of interconnected neurons. Each connection has a weight that's adjusted during training. The input layer receives data, hidden layers process it through weighted connections and activation functions, and the output layer produces predictions. Deep neural networks have many hidden layers.
Examples
02EX. 01
Multilayer Perceptron
EX. 02
Convolutional Neural Network
EX. 03
Transformer
More in Neural Networks
0301Activation FunctionA mathematical function that determines the output of a neuron based on its weighted input sum.02BackpropagationThe algorithm for calculating gradients of the loss function with respect to network weights.03Batch SizeThe number of training examples used in one iteration of model training.04EpochOne complete pass through the entire training dataset during model training.05NeuronA basic computational unit in a neural network that receives inputs, applies weights and activation, and produces output.
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