Laws, Sausages and ConvNets

Laws, Sausages and #ConvNets - great overview #DeepLearning #NeuralNets

  • Convolution is a simple mathematical operation, so the enormous complexity involved in implementing convolutional layers may be surprising.
  • Instead of dealing with networks, I take the point of view that a convolutional layer is simply a differentiable function.
  • Full-blown ConvNets may incorporate a variety of ideas and mechanisms, but in the following I’m going to focus on their very core: convolutional layers.
  • Convolutional Neural Networks (CNNs or ConvNets in short) give the state-of-the-art results in many problem domains.
  • The post is about the nuts and bolts: algorithms, implementations and optimizations.

Read the full article, click here.

@kdnuggets: “Laws, Sausages and #ConvNets – great overview #DeepLearning #NeuralNets”

Laws, like sausages, cease to inspire respect in proportion as we know howthey are made.

Laws, Sausages and ConvNets