Understanding the Basics of Deep Learning and Neural Networks
In the world of Artificial Intelligence (AI), two terms you might often hear are "deep learning" and "neural networks." These concepts are at the heart of many advanced AI systems, from voice recognition in smartphones to self-driving cars. But what exactly are deep learning and neural networks, and how do they work? What is a Neural Network? A neural network is a type of machine learning model inspired by the way the human brain works. Just as our brains are made up of billions of neurons connected by synapses, a neural network is made up of artificial neurons (also called nodes or units) connected by links. These connections allow the network to process information and make decisions. Neural networks are used to recognize patterns, classify data, and make predictions. For example, a neural network might be trained to recognize images of cats by analyzing thousands of cat photos. Once trained, it can identify whether a new image contains a cat or not. Structure of...