Optimization for Deep Learning Highlights in 2017 - 代码天地

Optimization for Deep Learning Highlights in 2017

其他 2019-02-20 21:01:08 阅读次数: 0

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转载自blog.csdn.net/PeaceInMind/article/details/78723426

Optimization for Deep Learning Highlights in 2017

Optimization algorithm----Deep Learning

Gentle Introduction to the Adam Optimization Algorithm for Deep Learning

《DEEP LEARNING AS A MIXED CONVEX COMBINATORIAL OPTIMIZATION PROBLEM》解读

TVM: End-to-End Optimization Stack for Deep Learning

Deep Learning, Score function, Loss function 和 optimization function（二）

Deep Learning, Score function, Loss function 和 optimization function（一）

Deep Learning, Score function, Loss function 和 optimization function（三）

（2017 ICLR）OPTIMIZATION AS A MODEL FOR FEW-SHOT LEARNING笔记

Deep learning II - II Optimization algorithms - learning rate decay 学习速率衰减

Deep learning II - II Optimization algorithms - Adam (Adaptive Moment Estimation)自适应矩估计

Deep learning II - II Optimization algorithms - RMSprop (Root Mean Square prop)均方根传递

论文笔记：Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning

Deep learning II - II Optimization algorithms - Gradient descent with momentum 动量梯度下降算法

Deep learning II - II Optimization algorithms - Exponentially weighted averages 指数加权平均

Deep learning II - II Optimization algorithms - Mini-batch gradient descent

吴恩达 deep learning 第二课第二周编程 optimization

吴恩达 deep learning 第二课第二周测验 optimization algrothm

《2017-Xception Deep Learning with Depthwise Separable Convolutions》

Deep Learning

2017-03-27 Deep Saliency with Encoded Low level Distance Map and High Level Features (deep learning)

.NET Highlights in Visual Studio 2017 version 15.7 Preview 4

Deep Learning - Machine Learning

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization（第一周）深度学习的实践层面 (Practical aspects of Deep Learning)

Device Placement Optimization with Reinforcement Learning

ISSCC 2017论文导读 Session 14 Deep Learning Processors，A 2.9TOPS/W Deep Convolutional Neural Network

6、【李宏毅机器学习（2017）】Brief Introduction of Deep Learning（深度学习简介）

11、【李宏毅机器学习（2017）】Why Deep Learning? （为什么是深度学习？）

9、【李宏毅机器学习（2017）】Tips for Deep Learning（深度学习优化）

李宏毅 DeepLearning -2017-Hello world of deep learning (keras)and Demo

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