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Deep learning is a branch of AI and machine learning that uses multi-layered artificial neural networks to accurately perform tasks such as object detection, speech recognition, and language translation
Time:2024-06-18
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Deep learning differs from traditional machine learning techniques in that it can automatically learn representations from data such as images, videos, or text without the need for hand-coded rules or human domain knowledge. Its highly flexible architecture can learn directly from raw data, and its prediction accuracy will increase as more data is obtained.
Deep learning is commonly used in applications such as computer vision, conversational AI, and recommendation systems. Computer vision applications use deep learning to acquire knowledge from digital images and videos. Conversational AI applications help computers understand and communicate through natural language. Recommendation systems use images, language, and user interests to provide meaningful and relevant search results and services.
Deep learning has recently enabled many breakthroughs in AI, such as Google DeepMind‘s AlphaGo, self-driving cars, and smart voice assistants. With NVIDIA GPU-accelerated deep learning frameworks, researchers and data scientists can significantly speed up deep learning training, completing training that previously took days in just a few hours, and training that previously took weeks in just a few days. When models are ready to deploy, developers can rely on GPU-accelerated inference platforms for the cloud, embedded devices, or autonomous vehicles to achieve high-performance, low-latency inference for compute-intensive deep neural networks.
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