Deep Learning 1.0
Feedforward, recurrent, convolutional, transformer, graph, and unsupervised learning paradigms.
IEEE SSCI 2020 Tutorial
Deep Learning 1.0 and Beyond.
A tutorial tracing the strengths of mainstream deep learning, the open problems it leaves unsolved, and the possible contours of the next phase of AI research.
Resources
Beyond
Reasoning, contextual adaptation, memory systems, dual-process architectures, and neural theory of mind.
Context
This tutorial sits directly on the path toward AI Future, deep reasoning, and agentic systems.