90 Facts About Artificial Neural Networks

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Here are 90 facts about neural networks:

1. Definition: Neural networks are computational models inspired by the structure and functioning of the human brain.
2. Neuron: The basic unit of a neural network, mimicking the functionality of a biological neuron.
3. Artificial Neural Network (ANN): A neural network composed of layers of interconnected artificial neurons.
4. Deep Learning: Neural networks with many layers, also known as deep neural networks, capable of learning intricate representations.
5. Activation Function: A mathematical function applied to the output of a neuron, determining its activation or firing.
6. Feedforward Neural Network: A type of neural network where information flows in one direction, from input to output.
7. Backpropagation: A training algorithm for adjusting neural network weights based on the gradient of the error with respect to the weights.
8. Supervised Learning: Training a neural network with labeled data to learn the mapping between inputs and outputs.
9. Unsupervised Learning: Training a neural network on unlabeled data to discover patterns and relationships.
10. Reinforcement Learning: Training a neural network based on a reward system…