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In deep learning, a computer model tests logarithms and programs and learns to improve and develop them on its own.
Deep learning is primarily concerned with developing algorithms that enable a computer to perform difficult tasks that require a deep understanding of the data and the nature of its work. Deep Learning is sometimes referred to as Deep Neural networks, as it relies on Artificial Neural networks.
Deep learning algorithms are different from machine learning algorithms.
Neural network architecture (we mean artificial neural networks) is generally composed of three types of layers:
Input layer, Output layer, and Hidden layer.