basics of deep learning

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Across
  1. 2. – Measures how well the network predicts
  2. 5. – Algorithm to update weights
  3. 6. – Extra parameter to shift activation
  4. 7. – Phase where the network learns from data
  5. 8. – Parameter multiplied by input
  6. 10. – Basic building block of neural networks
Down
  1. 1. – A group of neurons at the same level
  2. 3. – Final prediction of the network
  3. 4. – Function applied to a neuron’s output
  4. 9. – Data fed into the network