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  • Deep Learning for Time Series Classification (InceptionTime)

    Deep Learning for Time Series Classification (InceptionTime)

    2020-02-03 17:02:30

     

    Sourcehttps://towardsdatascience.com/deep-learning-for-time-series-classification-inceptiontime-245703f422db 

    Index

    1. Motivation

    2. Machine Learning for Time Series Classification

     
    Fig. 2: The Fourier series expansion of a square wave (red line). Here I present only the first three modes (blue dashed lines) and their addition (green line). Hopefully, it is not hard to see that by adding the next modes the series quickly converges to a square wave.

    3. Best DL practices for TSC: InceptionTime

     
    Fig. 3: The inception module of InceptionTime. The first number in the boxes indicates the kernel size while the second indicates the size of the stride. “(S)” specifies the type of padding, i.e. “same”.
     
     
    Fig. 4: The Inception network for time series classification.
     
    Fig. 5: Residual Connections in the Inception network.
     

    4. Understanding InceptionTime

     
    Fig. 6: The receptive field of neurons in filters.

    5. Conclusion

    References

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  • 原文地址:https://www.cnblogs.com/wangxiaocvpr/p/12256355.html
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