Deep Learning

Deep Learning is a subfield of Machine Learning that uses algorithms inspired by the structure and function of the brain, known as artificial neural networks, to process and analyze complex data such as images, speech, and text. The goal of Deep Learning is to enable machines to learn and make decisions in a similar way to humans, by processing and understanding large amounts of data.

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Deep Learning is a subfield of Machine Learning that uses algorithms inspired by the structure and function of the brain, known as artificial neural networks, to process and analyze complex data such as images, speech, and text. The goal of Deep Learning is to enable machines to learn and make decisions in a similar way to humans, by processing and understanding large amounts of data.

In Deep Learning, artificial neural networks are used to recognize patterns and relationships in data, allowing them to make predictions and decisions based on that data. The neural networks consist of interconnected nodes, or artificial neurons, that process information and transmit it from one layer to the next. Each layer of the network performs a different task, and the multiple layers work together to build a deep representation of the data.

Deep Learning has led to significant breakthroughs in various applications, including computer vision, natural language processing, and autonomous systems. It has also been used for tasks such as image classification, speech recognition, and language translation. Deep Learning algorithms have the ability to continuously improve with more data and experience, making them well-suited for applications that require decision making based on large amounts of data.

 

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Simran Dubey

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