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Ioannis Pitas (AUTH)
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This lecture overviews 1D Convolutional Neural Networks that has many applications in 1D signal analysis. It covers the following topics in detail: 1D Convolution, 1D CNN Architecture, Convolutional Layer, Fully Connected Layer, Pooling Layers, Activation Functions, Supervised Learning, Classification/Regression, 1D CNN Training, 1D CNN applications (ECG monitoring, Music tagging).
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