目录 概 主要内容 Effective Model Complexity(EMC) label noise data augmentation 下降方式 SGD vs Adam Adam SGD SGD + Momentum early-stopping Epoches 样本数量 weight-decay Nakkiran P, Kaplun G, Bansal Y, et al. Deep Double Descent: Where Bigger Models and More Data Hu…

论文原址:https://pdfs.semanticscholar.org/eeb7/c037e6685923c76cafc0a14c5e4b00bcf475.pdf 摘要 本文研究了利用深度神经网络及逆行自动语音识别(ASR)的语音模型,其输入是直接输入窗口形语音波(WSW).本文首先证明了,网络要实现自动化需要具有于梅尔频谱相类似的特征,(梅尔频谱是啥?参考,https://blog.csdn.net/qq_28006327/article/details/59129110),本文研究了挖掘…

2006年,机器学习泰斗.多伦多大学计算机系教授Geoffery Hinton在Science发表文章,提出基于深度信念网络(Deep Belief Networks, DBN)可使用非监督的逐层贪心训练算法,为训练深度神经网络带来了希望.如果说Hinton 2006年发表在<Science>杂志上的论文[1]只是在学术界掀起了对深度学习的研究热潮,那么近年来各大巨头公司争相跟进,将顶级人才从学术界争抢到工业界,则标志着深度学习真正进入了实用阶段,将对一系列产品和服务产生深远影响,成为它们背后…

Google Deep Learning Notes Google 深度学习笔记 由于谷歌机器学习教程更新太慢,所以一边学习Deep Learning教程,经常总结是个好习惯,笔记目录奉上. Github工程地址:https://github.com/ahangchen/GDLnotes 欢迎star,有问题可以到Issue区讨论 官方教程地址 视频/字幕下载 最近tensorflow团队出了一个model项目,和这个课程无关,但是可以参考 框架: TensorFlow 谷歌出品的基于Pytho…

Why are very few schools involved in deep learning research? Why are they still hooked on to Bayesian methods? First, this question assumes that every university should have a "deep learning" person.  Deep learning is mostly used in vision (and…

Classifying plankton with deep neural networks The National Data Science Bowl, a data science competition where the goal was to classify images of plankton, has just ended. I participated with six other members of my research lab, the Reservoir lab o…

如何提高深度学习性能 20 Tips, Tricks and Techniques That You Can Use ToFight Overfitting and Get Better Generalization How can you get better performance from your deep learning model? It is one of the most common questions I get asked. It might be asked as: H…

About this Course This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting…

An overview of gradient descent optimization algorithms Table of contents: Gradient descent variantsChallenges Batch gradient descent Stochastic gradient descent Mini-batch gradient descent Gradient descent optimization algorithms Momentum Nesterov a…

A Statistical View of Deep Learning (IV): Recurrent Nets and Dynamical Systems Recurrent neural networks (RNNs) are now established as one of the key tools in the machine learning toolbox for handling large-scale sequence data. The ability to specify…