DEEP LEARNING CROSS WORD PUZZLE

6. The adversarial component in a GAN that tries to distinguish between real and generated data.
8. A popular deep learning library often used for building and training neural networks.
9. A popular activation function in neural networks, introducing non-linearity.
10. A powerful language representation model pre-trained on vast amounts of textual data
13. A type of layer in a CNN that typically follows convolutional layers and reduces spatial dimensions.
17. The type of AI responsible for creating content that may be mistaken for human-created content
18. The process of dividing an image into regions and assigning a label to each region.
21. The process of teaching a machine to perform a task through trial and error.
23. Components that process input data and produce a fixed-size representation in sequence-to-sequence tasks.
24. The layer in a neural network designed for sequential data, allowing information to persist.
27. A technique that involves using pre-trained models for tasks other than what they were originally trained for.
28. An advanced type of RNN designed to address the vanishing gradient problem and capture long-term dependencies.

1. The layer in a CNN responsible for performing convolution operations on input data.
2. The mathematical operations that determine the output of a neural network layer.
3. The process of identifying and locating objects within an image.
4. The technique of expressing operations as matrix/vector operations to enhance computational efficiency.
5. A type of artificial neuron that takes multiple binary inputs and produces a binary output.
7. A type of neural network architecture that utilizes self-attention mechanisms for parallelization
11. The process of iteratively adjusting weights to minimize the difference between predicted and actual outputs.
12. A common deep learning architecture consisting of layers of interconnected nodes.
14. The process of adjusting the weights and biases in a neural network during training.
15. It is an activation function.
16. popular language model architecture known for its transformer architecture.
19. A deep learning framework often used for computer vision tasks.
20. A type of neural network used in generative tasks, consisting of a generator and discriminator.
22. A variant of RNN that incorporates gating mechanisms to control the flow of information.
25. The basic building block of a neural network that processes information.
26. A fundamental unit of computation in a neural network.