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1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jeff Roach
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- เผยแพร่เมื่อ 18 ส.ค. 2024
- PyData LA 2018
This talk describes an experimental approach to time series modeling using 1D convolution filter layers in a neural network architecture. This approach was developed at System1 for forecasting marketplace value of online advertising categories.
Slides - www.slideshare...
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on 7:08 one layer of filters has n*(n+1)/2= 6*(6+1)/2 = 6*7/2= 21
otherwise this will be one layer of filters n*(n-1)/2= 6*(6-1)/2 = 6*5/2 = 15
7:30 I think one layer is 21 weights.
I think so too. Lately, the academic community in computing seems to confuse people and offer no explanation
Why did you change the order: pool, relu instead of relu, pool?