Training deep learning models with minimal data remains a challenging yet exciting field. By leveraging techniques such as data augmentation, transfer learning, and synthetic data generation, it ...

Deep learning defined. Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem ...

Unsupervised Learning: Unlabeled, unstructured training data is used and requires the deep learning model to find patterns and possible answers in the training data on its own.

The deep learning model processes the image through its layers of neurons. Then, the AI model successfully identifies and classifies the image, showcasing its ability to interpret complex visual data.

Recently, Shaila Niazi, a third-year doctoral student in Çamsari’s lab, achieved a significant breakthrough in that effort, becoming the first to use probabilistic hardware to train a deep generative ...