Artificial Neural Networks
Artificial Neural Networks (ANNs) are a subset of machine learning algorithms that are modeled after the structure and function of the human brain. ANNs consist of interconnected nodes, or neurons, that process and transmit information. Each neuron receives input from other neurons, processes that input, and then sends an output signal to other neurons. ANNs are trained using a large dataset, where the weights and biases of the neurons are adjusted to minimize the difference between the predicted output and the actual output. ANNs are used in a variety of applications, including image and speech recognition, natural language processing, and predictive analytics.
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