Convolutional Neural Networks for IoT Time Series Data

Convoluted Neural Networks or CNNs are a type of AI typically used in computer vision to process images, but they are also applicable to process the time series data we typically get from sensors in IoT. In this episode of the IoT show, I speak with Simon Crosby about how these CNNs can be used to make predictions about the future and reduce the massive amounts of data we collect to just the important stuff.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast109notes

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Related links you may find useful:

• Season 1: Episodes and show notes
• Season 1 book: IoT Inc
• Season 2: Episodes and show notes
• Season 2 book: The Private Equity Digital Operating Partner
• Training: Digital transformation certification