The book Practical Deep Learning may be of interest to Gadget Masters getting serious with use of AI and develop their own ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...

To addresses this challenge, we developed a pre-trained cell-type annotation method, namely scDeepSort, using a state-of-the-art deep learning algorithm, i.e. a modified graph neural network (GNN) ...

IIPE offers a Web-based M.Tech in Data Science & Machine Learning for professionals, with flexible scheduling and fee waivers ...

ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement algorithms in Python using Chainer, a flexible deep learning framework.

Rapid penetration of AI in industries is enhancing its ability and making it smarter and more efficient. This, in turn, is ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...