Deep Learning

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Across
  1. 4. A computational model inspired by the human brain, consisting of interconnected nodes (neurons) organized in layers.
  2. 7. A type of neural network designed for processing structured grid data, commonly used in image recognition and classification tasks.
Down
  1. 1. An open-source deep learning framework developed by Google, widely used for building and training neural networks.
  2. 2. An optimization algorithm used to minimize the error of a neural network by adjusting its parameters in the direction of the steepest descent of the loss function.
  3. 3. A method used to train neural networks by computing the gradient of the loss function with respect to the network's parameters, allowing for efficient parameter updates.
  4. 5. A type of neural network architecture designed to handle sequential data by maintaining a state or memory of previous inputs.
  5. 6. A deep learning framework developed by Facebook's AI Research lab, known for its dynamic computation graph and ease of use.