PT434 Lecture 7

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Across
  1. 3. requires to compute the gradient and the Jacobian matrix of the loss index
  2. 5. A layer connected to the output data
  3. 6. A layer responsible for certain computations to detect features in the input data
Down
  1. 1. An activation function with sigmoid function which varies between -1 and +1
  2. 2. Depends on regularization term and error term
  3. 4. A layer connected to the input data