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Channel: How does a 1-dimensional convolution layer feed into a max pooling layer neural network? - Cross Validated
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Answer by Alex R. for How does a 1-dimensional convolution layer feed into a...

Terminology is wishy-washy here, but in this case the feature maps refer to the outputs of each convolution (filter). In this case you are applying 1x16 convolutions, stride 1, to your input of size...

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How does a 1-dimensional convolution layer feed into a max pooling layer...

I'm having some trouble mentally visualizing how a 1-dimensional convolutional layer feeds into a max pooling layer. I'm using Python 3.6.3 and Keras 2.1.2 with Tensorflow 1.4.0 backend. In [1]: #...

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