Algorithms

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Architecture:

  • Variables type
  • Variable scaling
  • Cost function
  • Type of neural network - CNN, RNN, FFN
  • Number of layers, hidden
  • Type of layers
    • LSTM, Dense, Highway
    • Convolutional
    • Pooling
  • Weight initialization type
  • Number of nodes
  • Type of activation function - linear, Sigmoid, ReLU
  • Dropout rate (or not)
  • Threshold

Neural Networks

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neuralnetworkcells.png neuralnetworkgraphs.png neuralnetworks.png

Top Algorithms

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Best_Machine_Learning_Algorithms.jpg

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