Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and autoencoders support different t ...

Stephane is a tech enthusiast and AI advocate with a deep-seated passion for leveraging technology to solve real-world problems. With a background in Chemistry and hands-on experience in AI,... We ...

The IIT Kanpur has launched a five week certificate programme on Python for AI, ML And DL. The programme will be conducted from December 14, 2026 to January 15, 2027.

In this book Dr. Joachim Steinwendner and Dr. Roland Schwaiger show how to program a neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. The book ...

The course will also include hands-on AI, ML and deep-learning tutorials, practical datasets and coding assistance from IIT Kanpur teaching assistants ...

The news these days is full of stories about AI. Lately, we're seeing how deepfake techniques create altered and convincing videos, photos or audio of people and how deep learning and neural networks ...

IIT Kanpur has opened registrations for a four-week online certification programme on Python for AI, ML and deep learning. The course brings students, scholars, faculty and professionals practical ...

A neural network is a machine learning (ML) model designed to process data in a way that mimics the function and structure of the human brain. Neural networks are intricate networks of interconnected ...

In this book PyTorch core developer Howard Huang updates the first edition with new insights into the transformers architecture and generative AI models. Huang et al show how to create your own neural ...

Multitask learning in deep neural networks is an approach in which a single model is trained to perform multiple related tasks concurrently, exploiting commonalities and differences across tasks to ...