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Understanding Neural Networks 0.0.1 documentation
Understanding Neural Networks 0.0.1 documentation

Contents:

  • Architecture
  • Symbols & Naming Conventions
  • Flow
  • Shapes
  • Dense Layer
  • Activation Functions
  • Loss
  • Optimization Algortihms
  • What is log
  • Regression Intuition
  • Classification Intuition
  • Recurrent Neural Network
  • Basic AutoEncoders
  • Kohonen Self-Organizing Maps
  • https://machinelearningexploration.readthedocs.io
  • https://nlpblog.readthedocs.io
  • https://recommendation-systems.readthedocs.io
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