Deep learning (DL) is a specialized type of machine learning that uses artificial neural networks with multiple layers to analyze data. If machine learning is inspired by the human brain, DL is inspired by the complex network of neurons in our brain. This allows it to tackle more complex tasks like image recognition, natural language processing, and speech recognition.
Deep learning models learn by recognizing patterns in large datasets, and the more data they are exposed to, the more accurate they become. It's the technology behind self-driving cars, virtual assistants, and medical diagnoses, enabling machines to perform tasks that were once thought to be exclusively human.
Deep learning is revolutionizing manufacturing by enabling advanced quality control, predictive maintenance, and human-robot collaboration. It analyzes complex data to detect microscopic defects, predict equipment failures, and optimize production processes. This leads to higher efficiency and reduced downtime.