ONE-DIMENSIONAL NEURON NETWORKS
Keywords:
1D CNN, convolutional layers, time series data, sequential data, audio signals, text, physiological signals, ReLU activation function, pooling layers, local patterns, global representations, speech recognition, music classification, natural language processing, long-term dependencies, recurrent neural networks, RNN.Abstract
One-dimensional neural networks, also known as 1D convolutional neural networks (CNNs), are a type of neural network commonly used for processing time series and sequential data. Unlike traditional feedforward neural networks that operate on vector inputs, 1D CNNs operate on 1D sequences, such as audio signals, text, and physiological signals.
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