Artificial neural network

123456789101112131415
Across
  1. 4. Function that introduces non-linearity in neural networks
  2. 5. Activation function with output between 0 and 1
  3. 7. Model inspired by human brain structure
  4. 8. Final layer producing prediction
  5. 9. First layer that receives raw data
  6. 10. Intermediate layer between input and output
  7. 13. Controls how much weights are updated
  8. 15. Error between predicted and actual values
Down
  1. 1. Algorithm used to update weights during training
  2. 2. Collection of data used for training
  3. 3. Connection strength between neurons
  4. 6. Model performs well on training but poorly on test data
  5. 11. Activation function that outputs zero for negative values
  6. 12. Additional parameter added to neuron output
  7. 14. One full pass through training dataset