Y. Bengio, S. Bengio, and J. 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, Le
J. Lim, “Multimodal Model-Agnostic Meta-Learning Via Task-Aware Modulation,” in NeurIPS, 2019. 根据不同的任务选取不同的prior,设计了两个网络,第一个网络用来提取当前任务的类型,将其编码为表征加入到task network层级的参数中。这和c-glow中cond的条件参数思想较为接近。 C. H. Yao, Y. Wei, J....
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...
Deep learning neural network expand all in page Description Adlnetworkobject specifies a deep learning neural network architecture. Tip For most deep learning tasks, you can use a pretrained neural network and adapt it to your own data. For an example showing how to use transfer learning to retr...
beyond static Artificial Neural Network (ANN) models used in AI. The brain’s unique capacity for adaptive, real-time learning is enabled by the complex interplay between its neuro-synaptic non-linear elements and a recurrent network topology1, with information processing manifested through emergent ...
Memristors with tunable resistance states are emerging building blocks of artificial neural networks. However, in situ learning on a large-scale multiple-layer memristor network has yet to be demonstrated because of challenges in device property engineer
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。
Noisy spiking neural network and noise-driven learning 在这篇文章中,我们考虑了一种噪声泄漏积分和发放(LIF)脉冲神经元模型(见实验过程方法详细信息),遵循了先前使用扩散近似的文献30,31,48。它考虑了一个离散的亚阈值公式,其形式为: 其中,u表示膜电压,xt表示时间 t 的输入,τ是膜时间常数,而Φθ是参数化输...
Neural networks approach the problem in a different way. The idea is to take a large number of handwritten digits, known as training examples, and then develop a system which can learn from those training examples. In other words, the neural network uses the examples to automatically infer rul...
DNN(Deep-Learning Neural Network)接下来介绍比较常见的 全连接层网络(fully-connected feedfoward nerural network) 名词解释首先介绍一下神经网络的基本架构,以一个神经元为例 输入是一个 向量,权重(weigh…