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  1. Apr 2022
  2. cs.stanford.edu cs.stanford.edu
    ConvNetJS CIFAR-10 demo
    1
    1. mshook 20 Apr 2022
      input (32x32x3)max activation: 0.5, min: -0.5max gradient: 1.08696, min: -1.53051Activations:Activation Gradients:Weights:Weight Gradients:conv (32x32x16)filter size 5x5x3, stride 1max activation: 3.75919, min: -4.48241max gradient: 0.36571, min: -0.33032parameters: 16x5x5x3+16 = 1216

      The dimensions of these first two layers are explained here

      example explanation dimension nn ml cnn convolution tensor
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    cs.stanford.edu/people/karpathy/convnetjs/demo/cifar10.html
  3. Oct 2021
  4. colah.github.io colah.github.io
    Visualizing Representations: Deep Learning and Human Beings - colah's blog
    1
    1. mshook 31 Oct 2021
      These layers warp and reshape the data to make it easier to classify.
      nn layer ml example colah
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    colah.github.io/posts/2015-01-Visualizing-Representations/
  5. Apr 2021
  6. www.infoq.com www.infoq.com
    Health Informatics and Survival Prediction of Cancer with Apache Spark Machine Learning Library
    1
    1. cuya 23 Apr 2021
      survival prediction of colorectal cancer is formulated as a multi-class classification problem
      ML example
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    infoq.com/articles/health-informatics-apache-spark-machine-learning/