Introduction to Neural Networks
What Are Neural Networks? Neural networks are a subset of machine learning, specifically within deep learning. They are designed to mimic the way the human brain processes information, consisting of layers of artificial neurons (or nodes) that are connected and organized similarly to how the brain’s neurons function. Key components of neural networks : Neurons (Nodes) : The basic units of the network, each node takes in input, processes it, and passes output to the next layer. Layers : Input Layer : The layer where the data is fed into the network. Each neuron represents a feature in the input data (e.g., pixel values in an image). Hidden Layers : These are the intermediate layers between the input and output layers, where the actual computation and learning occur. Multiple hidden layers form deep neural networks. Output Layer : The final layer that provides the network's prediction or classification result. Weights and Biases : Each connection between nodes has a weight, represent...