Introduction to ML and NN

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Across
  1. 3. The activation function decides whether a neuron should be activated or not by calculating the ____ sum and further adding bias to it.
  2. 6. confusion matrix is a matrix used to determine the performance of the ____ models
  3. 7. labelled data
  4. 9. Nodes of this layer are not exposed to the outer world, they are part of the abstraction provided by any neural network.
  5. 10. output variable of Classification is a ____, not a value
Down
  1. 1. Predicting numeric value
  2. 2. from sklearn.___ import train_test_split
  3. 4. Type of UnsupLearning Algorithmlgorithm
  4. 5. ___ Reinforcement is when an event occurs due to a particular behaviour, increasing the strength and frequency of the behaviour.
  5. 8. ___ function has the equation similar to as of a straight line i.e. y = x