"Neural Networks and Deep Learning"

Neural networks are computing systems inspired by the human brain's structure, composed of layers of interconnected nodes called neurons. They process data by recognizing patterns and making decisions, learning from examples over time. Deep learning is a subset that involves many such layers, enabling the model to understand complex data like images, speech, and text. These systems improve their performance by adjusting connections based on the data they analyze, making them powerful tools for tasks like facial recognition, translation, and recommendation systems, essentially mimicking some aspects of human learning to solve difficult problems efficiently.