What is Neural Network (NN)? by 3Blue1Brown

The video discusses:

  • handwritten digit recognition example
  • kernel size 28x28 pixel = 784 array
  • activation layer 784 (1-dimensional) array 
  • 2 hidden layers, each with 16 neurons (arbitrary choice)
    • hidden layers correspond to macro and micro features within the digit


  • output layer 0..9, the largest value is the most likely selection of the NN
  • He notes that the same principle can be applied to speech recognition.
  • neuron parameters: knobs to adjust
  • weights: connections between neurons
  • activation function: normalizes the values between 0..1





https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&index=3




by Uki D. Lucas on Saturday, October 21, 2017
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