Posts by Daniel Möller • 111 points

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  A: multivariate regression in Keras

  The complex mathematics of neural networks can create confusion in the model. If this input does not significantly contribute to a better result, it may be that it disrupts and "consumes" part of…

  regression deep-learning keras

  answered 6 years ago Daniel Möller 111

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  A: Convolution 1D Keras

  Convolutions always need two extra dimensions, one for "samples" (samples in your "batch") and one for channels (Channels). Therefore, 1D convolutions need 3 dimensions, and 2D convolutions need 4.…

  python keras

  answered 6 years ago Daniel Möller 111