Neural NetworksSchmidhuber, J. (2015) 'Deep learning in neural networks: An overview', Neural Networks, 61 pp.85-117.SCHMIDHUBER J.: Deep learning in neural networks: An overview. Neural networks 61 (2015), 85-117. 3Schmidhuber, J.: Deep Learning in Neural Networks: An Overview. Neural ...
deep learningimbalanced dataimbalanced classificationPerformance of neural networks greatly depends on quality, size and balance of training dataset. In a real ... H Ljubi,G Martinovi,T Volari - 《Intelligent Data Analysis》 被引量: 0发表: 2022年 Optimization for Deep Learning:An Overview Optimizati...
Title Deep Learning in Neural Networks: An Overview Author(s) Juergen Schmidhuber Publisher: arxiv.org (October 2014) and University of Lugano License(s): Non-exclusive License to Distribute Hardcover N/A eBook PDF (206 pages) Language: English ISBN-10: N/A ISBN-13: N/A Share This: ...
多任务学习有很多形式,如联合学习(Joint Learning),自主学习(Learning to Learn),借助辅助任务学习(Learning with Auxiliary Tasks)等,这些只是其中一些别名。概括来讲,一旦发现正在优化多于一个的目标函数,你就可以通过多任务学习来有效求解(Generally, as soon as you find yourself optimizing more than one loss fu...
An Overview of Multi-Task Learning in Deep Neural Networks 摘要 1. 引言 2. 动机 3. 两种深度学习多任务学习方法 3.1. 硬参数共享 3.2. 软参数共享 4. 为什么多任务学习有效? 4.1. 隐含的数据增强 4.2. 注意力聚焦 4.3. 窃听 4.4. 表示偏见 ...
Deep Learning in Neural Networks- This technical report provides an overview of deep learning and related techniques with a special focus on developments in recent years. 主要看点是深度学习近两年(2012-2014)的进展情况。 Tutorials UFLDL Tutorial 120 ...
Deep learning is a subset of machine learning (ML) that uses neural networks with many layers, known as deep neural networks (DNNs). These networks consist of numerous interconnected units called neurons or nodes that act as feature detectors. Each neural network has an input layer to receive ...
Artificial neural networks are not new; they have been around for about 50 years and got some practical recognition after the mid-1980s with the introduction of a method (backpropagation) that allowed for the training of multiple-layer neural networks. However, the true birth of deep learning ...
【多任务学习】An Overview of Multi-Task Learning in Deep Neural Networks,译自:http://sebastianruder.com/multi-task/1.前言在机器学习中,我们通常关心优化某一特定指标,不管这个指标是一个标准值,还是企业KPI。为了达到这个目标,我们训练单一模型或多个模型集合
deep learning is that it enables end-to-end learning via the featurization ability of neural networks: feed in the raw data as input, and output the required result. This approach can optimize all parameters in an orchestrated manner to boost accuracy. For example, in MRC,the model takes in...