Which type of models are designed to handle large-scale image recognition tasks?Group of answer choicesRecurrent Neural NetworksGated Recurrent UnitsLarge Language ModelsLarge Vision Models

Which statement is true?Group of answer choicesNeural nets are not great for image data because for images, you only need to learn a few parametres but neural nets can learn many.Small changes in images don’t cause massively different image vectors.Images are not very high dimension and thus, are not very painful to train.CNNs are great for images because they are translation invariant.

Tasks with Neural Networks

What are Large Language Models? Models that only work with one language.Models that only work with small amounts of data.Models that use deep learning to process and understand natural language on a massive scale.

What is pattern recognition?Group of answer choicesHiding detailsBreaking down complex problems into smaller chunksBuilding modelsLooking for similarities among problems

Convolutional layers in a CNN are responsible for learning hierarchical representations of the input data.Group of answer choicesTrueFalse