Cloutier, “Learning a synaptic learning rule,” in Proc. Int. Joint Conf. Neural Netw., 1990, p. 969. S. Thrun and L. Pratt, “Learning to learn: Introduction and overview,”in, Learning to Learn. Boston, MA, USA: Springer, 1998. R. Vilalta and Y. Drissi, “A perspective view ...
所以,优化后的model 可以是隐式的通过meta knowledge来表示: \begin{array}{ccc} \min _{\omega} & \underset{\mathcal{T} \sim p(\mathcal{T})}{\mathbb{E}} & \sum_{(\mathbf{x}, y) \in \mathcal{D}^{v a l}}\left[\left(\mathbf{x}^{T} \mathbf{g}_{\omega}\left(\mathcal{...
ALVINN (Autonomous Land Vehicle In a Neural Network)是一个基于神经网络的智能系统,通过观察人类的驾驶来学习驾驶,ALVINN能够控制NavLab,装在一辆改装版军用悍马,这辆悍马装载了传感器、计算机和驱动器用来进行自动驾驶的导航试验。实现ALVINN功能的第一步,是对它进行训练,也就是训练一个人驾驶汽车。 然后让ALVINN观看...
In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarizes relevant work, much of it from the previous millennium. Shallow and Deep Learners are distinguished by the depth...
A. Smoothed spiking neural networks B. Surrogate gradients V. APPLICATIONS A. Feedback alignment and random error backpropagation B. Supervised learning with local three factor learning rules C. Learning using local errors D. Learning using gradients of spike times ...
Deep learning, a powerful set of techniques for learning in neural networks. CHAPTER 1 Using neural nets to recognize handwritten digits the neural network uses the examples to automatically infer rules for recognizing handwritten digits. #
Deep learning, a powerful set of techniques for learning in neural networks Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you many of the core concepts behind neur...
In recent years, deep learning has been a revolution in the field of machine learning, for computer vision in particular. In this approach, a deep (multilayer) artificial neural network (ANN) is trained in a supervised manner using backpropagation. Huge amounts of labeled examples are required...
(1)Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data 神经网络,一个优秀的生物激励式的程序范例,能使得一台电脑能够从观察样本中不断学习 (2)Deep learning, a powerful set of techniques for learning in neural networks ...
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets Constants Matter: The Performance Gains of Active Learning 发布于 2023-07-04...