"Deep Learning" (Goodfellow et al.)

Deep learning is a subset of machine learning where computer models, called neural networks, are designed to mimic the way the human brain processes information. These models consist of multiple layers that progressively learn to recognize patterns and features in data, such as images, sound, or text. Through training on large datasets, deep learning systems automatically extract relevant features, enabling tasks like image recognition, language translation, and voice recognition with high accuracy. By stacking many layers, deep learning models can understand complex, abstract representations, making them powerful tools for solving complex problems across various fields.