Popular deep learning algorithms There are a number of very successful and widely adopted deep learning paradigms, the most recent being the transformer architecture behind today’s generative AI ...

For the algorithm training, the participating teams had access to a large annotated PET/CT dataset. All algorithms submitted for the final phase of the competition are based on deep learning methods.

Furthermore, deep learning algorithms trained with optical coherence tomography (OCT) data can detect microstructural damage due to glaucoma and its progression over time.

These advanced algorithms in deep learning are crafted to represent intricate patterns and high-level concepts in data, employing artificial neural networks that draw inspiration from the ...

Dynamsoft has announced the release of version 11.0 of its Barcode Reader SDK for JavaScript edition, introducing ...

Deep Learning A-Z 2025: Neural Networks, AI, and ChatGPT Prize. Offered by Udemy, this course is taught by Kirill Eremenko and Hadelin de Ponteves and focuses on practical deep learning ...

Learn how to implement the RMSProp optimization algorithm step by step in Python. Perfect for deep learning beginners and ...

This is where sophisticated AI algorithms (i.e., deep learning) can be relatively more accurate when compared with standard ML algorithms; deep learning or reinforcement learning algorithms tend to be ...

Deep learning finds numerous applications in machine vision solutions, particularly in enhancing image analysis and recognition tasks. Algorithmic models can be trained to recognize patterns ...