Overview
AI model representation is a fundamental concept in artificial intelligence that involves structuring models to process information effectively. Understanding how these models work, including neural networks and data encoding techniques, is crucial for developing AI applications. The training proces...
Key Terms
Example: Neural networks are used in image recognition tasks.
Example: A dataset of labeled images is used to train a model for image classification.
Example: A model that performs well on training data but poorly on new data is overfitting.
Example: Extracting edges from images to use as features in a model.
Example: The ReLU function is commonly used in hidden layers of neural networks.
Example: Normalizing pixel values of images to a range of 0 to 1.