python pytorch bayesian-network image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-networks variational-inference bayesian-statistics bayesian-neural-networks variational-bayes bayesian-deep-learning pytorch-cnn bayesian-con

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Attentive Recurrent Neural Network Weak-supervised Multi-label Image Classification

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2ed 2019.epub

标签： Machine Learning Keras TensorFlow Scikit-Learn

You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you ...

Multi-focus image fusion with a deep convolutional neural network的源码

标签：多聚焦融合

Multi-focus image fusion with a deep convolutional neural network的源码

R-CNN matlab 代码: Regions with Convolutional Neural Network Features

标签： R-CNN，Deep learning CNN 卷积神经网络

R-CNN, matlab 代码: Regions with Convolutional Neural Network Features,卷积神经网络，此代码容易看懂，实现，适合学习改进！

Siamese Neural Networks for One-shot Image Recognition （孪生神经网络用于 One-Shot 图像识别）

标签： Meta-learning Metric learning Siamese Network

目录1. 摘要2. 介绍3. 方法3. 用于图像验证的孪生网络4. 有趣的一点5. 其他6....1. 摘要机器学习应用中学习好的特征的计算开销是非常大的，而且在某些情况下（few-shot learning，可用数据很少）是非常困难的。...

资源帖- low-light image enhancement 论文代码数据集

标签： Low-light Image 图像增强低光数据集

Datasets dataset brief introduction link VIP-LowLight ... https://uwaterloo.ca/vision-image-processing-lab/research-demos/vip-lowlight-dataset ReNOIR RENOIR - A Dataset for Real Low

Hands-On Machine Learning with Scikit-Learn and TensorFlow [EPUB]

标签：机器学习 Scikit-Learn TensorFlow

Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector ...

【IQA】Deep Neural Networks for No-Reference and Full-Reference Image Quality Asses

标签： IQA No-Reference Full-Reference

数据库：LIVE，CISQ，TID2013和Wild Image Quality Challenge数据库源码：https://github.com/dmaniry/deepIQA 贡献 1、针对IQM问题的公开数据集比较小，作者在图像上进行random sample patch方法，每个patch的...

《Non-local Neural Networks》个人总结理解

标签：深度学习神经网络 Non-Local

问题分析：神经网络中的long-range依赖问题，对于序列数据（如语音、文字），可以使用RNN循环神经网络来提取长距离依赖，对于图像数据，由于卷积操作具有的局部连接的特性，使得卷积的结果仅和周围的局部区域相关...

Make Your Own Neural Network - Tariq Rashid

标签： Make Your Own Neural Network

Make Your Own Neural Network---------mobi 、epub、azw3

论文阅读笔记（五十四）：V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image ...

标签： V-Net Volumetric Medical Image Segme Fully Convolutional Neural Net

Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields. Despite their popularity, most approaches ...

论文阅读笔记 | (ICCV 2017) Multi-Attention CNN for Fine-Grained Image Recognition：MA-CNN

标签： Multi-Attention CNN Fine-Grained Image Recognition

论文下载：Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition Abstract 识别细粒度类别（例如，鸟类）高度依赖于判别性部分定位（discriminative part ...

Transformer-TTS: Neural Speech Synthesis with Transformer Network阅读笔记

标签： Transformer transformer-TTS attention

5. Transformer-TTS: Neural Speech Synthesis with Transformer Network 文章于2019年1月发表 Transformer-TTS可以看做Tacotron2+transformer的组合，作者认为优点主要为：通过移除RNN结构实现并行训练，因为...

完整工程案例：图像描述---Show and Tell: A Neural Image Caption Generator

标签：图片描述 ShowAndTell ImageCaption InceptionV3 LSTM

完整工程案例：图像描述---Show and Tell: A Neural Image Caption Generator，基于Inception V3与LSTM实现图像描述，运行环境（Tensorflow1.0及以上，Python3.6）

neural-style风格迁移模型实战

标签：深度学习 neural-style vgg

neural-style模型是一个风格迁移的模型，是GitHub上一个超棒的项目，那么什么是风格迁移，我们来举一个简单的例子：这里，我选择了将梵高的画风和我们的东北大学的工学馆相结合，让工学馆融入了梵高的星空效果图...

回归预测 | MATLAB实现CNN-LSTM卷积长短期记忆神经网络多输入单输出

标签： CNN-LSTM CNN LSTM

回归预测 | MATLAB实现CNN-LSTM(卷积长短期记忆神经网络)多输入单输出目录回归预测 | MATLAB实现CNN-LSTM(卷积长短期记忆神经网络)多输入单输出基本介绍模型背景CNN-LSTM模型CNN模型LSTM模型CNN-LSTM模型数据下载...

High-Speed Ship Detection in SAR Images Based on a Grid Convolutional Neural Network 20190904

标签： SAR ship detection G-CNN

High-Speed Ship Detection in SAR Images Based on a Grid Convolutional Neural Network Abstract1. Introduction2. Methodology2.1.Dataset2.2 G-CNN2.3. Model2.4. Anchor Box2.5.Evaluation Indicator3. Experi...

Ubuntu下搭建深度学习环境教程（scikit-neuralnetwork、matplotlib、Theano等）

标签： ubuntu下安装sklearn scikit-neuralnetwork 深度学习环境搭建

今天给大家介绍下在ubuntu14.04中安装scikit-neuralnetwork：(安装流程为从顶层向下安装，顶层包需要下层什么样的包就再补安装什么样的包去满足顶层包的需要环境，这样安装的成功率会很高)，另外需要有耐心去查看...

FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS 论文笔记

标签： GNN Few-shot learning Graph neural networks

论文链接：FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS Idea: Few-shot 学习不依靠于规则化扩展数据集来补偿缺少有监督数据对模型带来的影响，而是受启发与人类学习去探索相似任务在空间上的分布情况。 GNN...

【论文整理】小样本学习Few-shot learning论文整理收藏（最全，持续更新）

标签：小样本学习综述 few-shot 小样本

一、综述类 1.Generalizing from a Few Examples: A Survey on Few-Shot Learning 2.Generalizing from a few examples: A survey on few-shot learning, CSUR, 2020. 3.Rethinkingfew-shotimage classification:...

深度学习编程作业（1-2）- Python Basics with Numpy & Logistic Regression with a Neural Network ...

标签： deep-learning Coursera 逻辑回归

Part 1：Python Basics with Numpy (optional assignment) Part 2： Logistic Regression with a Neural Network mindset

机器翻译 bpe——bytes-pair-encoding以及开源项目subword-nmt快速入门

标签： bytes-pair-encoding 机器翻译

subword-nmt干啥用的解决未登录词问题的一种方法。在做nlp的时候，很多时候我们会对语料做一个预处理，生成语料的一个字典。为了不让字典太大，我们通常只会把出现频次大于某个阈值的词丢到字典里边，剩下所有的词...

Faster R-CNN论文翻译——中英文对照

标签： Faster R-CNN

文章作者：Tyan 博客：noahsnail.com &nbsp;|&nbsp; CSDN &nbsp;|&nbsp; 简书 ...声明：作者翻译论文仅为学习，如有侵权请联系作者删除博文，谢谢！...Faster R-CNN: Towards Real-Time ...

低光图像增强（Low-light image enhancement）文章整理

标签：深度学习人工智能

低光图像增强是图像增强任务中的重要组成部分，目前对于低光图像增强方法的整理参差不全。因此希望在以有的文章基础上整理汇总一下现有的低光图像增强算法（文章和代码）。希望为自己以及大家查找低光图像增强领域的...

论文阅读笔记（二十四）：Non-local Neural Networks

标签： Non-local Neural Networks Non-local Neural Networks

Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time. In this paper, we present non-local operations as a generic family of building blocks for...

scikit-learn学习之神经网络算法

标签：神经网络算法 scikit-learn

1：神经网络算法简介 ...4：自己实现神经网络算法NeuralNetwork 5：基于NeuralNetwork的XOR实例 6：基于NeuralNetwork的手写数字识别实例 7：scikit-learn中BernoulliRBM使用实例 8：scikit-learn中的手写数字识别实例

Machine Learning week 5 quiz: programming assignment-Multi-Neural Network Learning

标签： Machine Learning programming assignme Multi-Neural Network

%% Machine Learning Online Class - Exercise 4 Neural Network Learning % Instructions % ------------ % % This file contains code that helps you get started on the % linear exercise. You

Non-local Neural Networks 简单总结

标签： non-local

论文链接: https://arxiv.org/pdf/1711.07971.pdf self-attention链接: https://blog.csdn.net/qq_37405118/article/details/106947689. 目录1. 摘要2.公式3.理论研究 1. 摘要 2.公式 3.理论研究

NARM:Neural Attentive Session-based Recommendation简析

标签： NARM session-based 注意力

Neural Aentive Session-based Recommendation 介绍作者提出之前的工作只考虑了用户的序列表现，但是对用户的主要目的并没有明显地强调，因此作者提出Neural Attentive Recommendation Machine（NARM）方法 NARM的...

论文笔记--N4-Fields: Neural Network Nearest Neighbor Fields for Image Transforms

标签： CNN-深度学习

Abstract & Introduction○ 边缘检测CNN与Nearest neighbor search(近邻搜索)结合在网络最高层的输出使用最近邻搜索○ 测试阶段：N4场将Patch通过CNN，对于给定的每一个Patch，都会输出一个低维的向量。...

”python pytorch bayesian-network image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-networks variational-inference bayesian-statistics bayesian-neural-networks variational-bayes bayesian-deep-learning pytorch-cnn bayesian-con“ 的搜索结果

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