Deep Learning

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Across
  1. 3. A type of neural network that is excellent for sequence processing
  2. 5. The term for how the machine learns during training by making iterative adjustments
  3. 7. A regularization technique that helps prevent overfitting
Down
  1. 1. A type of deep learning model designed for image processing
  2. 2. The process of adjusting model parameters to minimize the loss function
  3. 4. A basic building block for constructing artificial neural networks
  4. 6. A common activation function that allows a model to account for non-linearities