Deep Learning Techniques

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Across
  1. 1. function used to introduce non-linearity into the output of a neuron
  2. 7. A modeling error that occurs when a function is too closely fit to a limited set of data points.
  3. 9. computational model inspired by the way biological neural networks
  4. 10. A regularization technique where randomly selected neurons are ignored during training
Down
  1. 2. A layer in a neural network that applies convolution operations to the input.
  2. 3. Descent An optimization algorithm used to minimize the loss function in neural networks.
  3. 4. One complete pass
  4. 5. An open-source software library for dataflow and differentiable programming across a range of tasks.
  5. 6. A popular activation function that stands for Rectified Linear Unit.
  6. 8. algorithm used to train neural networks by adjusting weights