Chapter 1—Preliminaries 1.1. Computational Intelligence: its inception and research agenda 1.2. Organization and readership 1.3. References Chapter 2—Neural Networks and Neurocomputing 2.1. Introduction 2.2. Generic models of computational neurons 2
人工智能前沿研究，元学习研究资料—Meta-Learning: A Survey，Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networ，Online Meta-Learnin，Task Agnostic Meta-Learning for Few-Shot Learning
英文版。很好的资源，适合机器学习以及人工智能爱好者。A RESEARCH AGENDA
Deep learning successes have required a lot of labeled training data
s collecting and labeling such data requires significant human labor
practically, is that really how we'll solve Al
sCientifically, this
