Deep networks, also known as deep learning networks or deep neural networks, are a type of artificial neural network that is composed of many layers of interconnected nodes, or neurons. These networks are called “deep” because they have a larger number of layers than traditional neural networks, which allows them to learn more complex patterns in data. Deep networks are a powerful tool for machine learning, and have been used in a wide range of applications, including image recognition, natural language processing, and autonomous vehicles. Deep networks are able to learn and make predictions based on large amounts of data, and can improve their performance over time through a process known as training.
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