If I had to learn deep learning with Python all over again, I would start with Grokking Deep Learning, written by Andrew Trask.

Thinking of diving into deep learning in 2025? Here's how I'd start today—from foundational concepts to cutting-edge tools. AI is evolving fast, but it's never too late to get in. # ...

Extending deep learning into applications beyond speech and image recognition will require more conceptual and software breakthroughs, not to mention many more advances in processing power.

The idea is to allow any company to deploy a deep-learning model without the need for specialized hardware. It would not only lower the costs of deep learning but also make AI more widely accessible.

Deep learning pioneers Deep Yoshua Bengio, Geoffrey Hinton, and Yann LeCun outlines future directions for research in ACM paper.

Deep learning comes with no such guarantees. Nevertheless, there are many businesses that are waking up to the idea of building new services powered by deep learning.

As deep learning moves from the lab into production use in mission critical fields from medicine to driverless cars, we must recognize its very real limitations as nothing more than a pile of ...

The visual data sets of images and videos amassed by the most powerful tech companies have been a competitive advantage, a moat that keeps the advances of machine learning out of reach from many ...