A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

The following are some of the most popular deep learning applications: Image Recognition: Deep learning algorithms can be trained to identify objects in images, such as faces, cars and animals.

Keras: Best for beginners and researchers A top deep learning software worth considering is Keras. It stands out for its simplicity and ease of use. Keras, a Python-based deep learning library ...

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 ...

Deep learning and artificial intelligence (AI) are rapidly evolving fields with new technologies emerging constantly. Five of the most promising emerging trends in this area include federated ...

Commentary: We’ve been overhyping deep learning for too long. It’s time to start embracing it as a complement to, not replacement for, human ingenuity.

DeepMind is trying to combine deep learning and algorithms, creating the one algorithm to rule them all: a deep learning model that can learn how to emulate any algorithm, generating an algorithm ...

Learn more Will deep learning really live up to its promise? We don’t actually know. But if it’s going to, it will have to assimilate how classical computer science algorithms work.

The back-and-forth data flow ends up being a bottleneck for computation, capping the speed at which GPUs can run deep-learning algorithms. Neural Magic's office.

Deep learning is notorious for being a black box when it comes to insights, but effectively reverse engineering algorithm outputs is not impossible for a strong data science team. Having this ...