网络结构搜索（3） —— Simple and efficient architecture search for convolutional neural network - 代码天地

网络结构搜索（3） —— Simple and efficient architecture search for convolutional neural network

其他 2018-12-26 10:51:06 阅读次数: 0

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转载自blog.csdn.net/Lucifer_zzq/article/details/83315430

网络结构搜索（3） —— Simple and efficient architecture search for convolutional neural network

Convolutional Neural Network Architecture

网络结构搜索（2）—— ENAS（Efficient Neural Architecture Search via Parameter Sharing）论文笔记

【神经网络搜索】Efficient Neural Architecture Search

【PaperReading】Convolutional neural network architecture for geometric matching

Path-Level Network Transformation for Efficient Architecture Search 神经网络架构搜索

《Efficient Neural Architecture Search via Parameter Sharing》论文阅读笔记

Efficient Sub-Pixel Convolutional Neural Network（ESPCN）

【论文阅读】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

《ShuffleNet: An Extremely Efficient Convolutional Neural Network for MobileDevices》论文笔记

NAS(Neural Architecture Search) 神经结构搜索

网络结构搜索（1）—— NAS（Neural architecture search with reinforcement learning）论文笔记

CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble Behavior

Neural architecture search

卷积神经网络 — Convolutional Neural Network

【学习笔记】Week1_Convolutional Neural Networks_Simple Convolutional Network Example

论文笔记系列-Efficient Neural Architecture Search via Parameter Sharing

《ENAS：Efficient Neural Architecture Search via Parameter Sharing》论文笔记

Introduction to Convolutional Neural Network

CNN(Convolutional Neural Network)

Convolutional Neural Network

Convolutional Neural Network in TensorFlow

Convolutional Neural Networks(1): Architecture

人脸识别论文:VarGFaceNet:VarGFaceNet: An Efficient Variable Group Convolutional Neural Network 及其PyTorch实现

【论文阅读四】An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Mod

神经网络架构搜索（Neural Architecture Search）杂谈

Neural Network Search: A Survey

Research Guide for Neural Architecture Search

Recurrent Neural Network(1):Architecture

EffNet: An Efficient Structure for Convolutional Neural Networks

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