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Machine Learning

Deep learning: ML techniques using artificial neural networks to learn and make decisions

Deep learning is a type of machine learning that uses artificial neural networks to learn and make decisions. It is a subset of artificial intelligence (AI) that allows computers to learn and perform tasks without being explicitly programmed.

Deep learning involves training a machine learning model on a large dataset, allowing it to learn patterns and relationships in the data. The model is made up of multiple layers of artificial neurons, which are inspired by the structure and function of neurons in the human brain. These layers process the input data and learn to recognize patterns and make decisions based on the data.

Deep learning has been successful in a wide range of tasks, including image and speech recognition, natural language processing, and even playing games. For example, deep learning has been used to improve image recognition systems, allowing them to accurately identify objects in images with high accuracy. It has also been used to improve speech recognition systems, allowing them to transcribe spoken words with high accuracy.

One of the key advantages of deep learning is that it can learn from raw data, without the need for human intervention. This allows it to learn complex patterns and relationships in the data, and make decisions based on that knowledge. It also allows deep learning models to learn and adapt over time, as they are exposed to more data and examples.

Overall, deep learning is a powerful tool for machine learning and artificial intelligence, and it has the potential to revolutionize many industries and applications.