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• Concurrency: Concurrency refers to the ability of a system to perform multiple tasks simultaneously. In the context of data science and artificial intelligence, concurrency is important for improving the performance of algorithms and models. By allowing ... Read More >>
• Convolutional Layer: In deep learning, a convolutional layer is a type of neural network layer that performs a mathematical operation called convolution on the input data. Convolution is a process of multiplying and summing up the values of a small matrix, call ... Read More >>
• Nodes: In data science, nodes refer to the individual units that make up a neural network. These nodes are connected to each other through pathways that allow for the transmission of data between them. Each node receives input data, processes it u ... Read More >>