Hands-on workshop covering signal processing and 1D CNN fundamentals in Python. Topics include signal visualization, filtering, noise removal, feature extraction, and building 1D classifiers. Ideal for beginners interested in learning signal processing and deep learning for time series data through practical examples and coding exercises.
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Hands-on workshop covering signal processing and 1D CNN fundamentals in Python. Topics include signal visualization, filtering, noise removal, feature extraction, and building 1D classifiers. Ideal for beginners interested in learning signal processing and deep learning for time series data through practical examples and coding exercises.
HiramAmaral/HAR_workshop
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Hands-on workshop covering signal processing and 1D CNN fundamentals in Python. Topics include signal visualization, filtering, noise removal, feature extraction, and building 1D classifiers. Ideal for beginners interested in learning signal processing and deep learning for time series data through practical examples and coding exercises.
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