Deep Learning is an advanced subset of machine learning that uses deep neural networks (networks with many hidden layers) to process and analyze large volumes of data. These deep networks can automatically discover intricate patterns and representations in the data, without the need for explicit programming. Deep learning excels in tasks that involve unstructured data like images, text, and audio. The complexity and size of the neural networks allow deep learning models to outperform traditional algorithms in various fields.
Autonomous vehicles, such as those being developed by Tesla, rely on deep learning models to process data from sensors and cameras, enabling the vehicle to identify objects, pedestrians, and road signs in real-time. Deep learning is also used in speech recognition applications like Amazon Alexa, where it improves the system's ability to understand spoken language and respond accurately.
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