Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Deep learning has emerged as a transformative force in video coding, particularly in the realm of in-loop filtering, where it is employed to suppress compression artefacts and enhance visual quality.

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

After a mathematics win in July, Gemini 2.5 Deep Think has now earned a gold-medal level performance in competitive coding. The International Collegiate Programming Contest (ICPC) is the “oldest, ...

However, we can use current deep learning algorithms, along with synthesized training data, to start exploring artificial front-end automation right now. In this post, we’ll teach a neural network how ...

Machine learning and its younger sibling deep learning are continuing their acceleration in terms of increasing the value of enterprise data assets across a variety of problem domains. A recent talk ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...