Description: 关于深度玻尔兹曼机的工具箱，可以进行图像的分类和识别。-About Deep Boltzmann Machine Toolbox,which you can use for image classification and identification. Platform: |
Size: 11264 |
Author:棉花糖 |
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Description: 深度学习方法中的卷积受限玻尔兹曼机的必备学习源，有助于了解方法原理。-Convolution restricted boltzmann machine in deep learning approach, a necessary source of learning, helps to understand the method principle Platform: |
Size: 49152 |
Author:林秀琴 |
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Description: 随机神经网络 主要有模拟退火算法和Boltzmann机及其应用-There are random neural network algorithms and simulated annealing Boltzmann Machine and Its Applications Platform: |
Size: 3072 |
Author: |
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Description: 深度信念网络带有限制玻耳兹曼机和反向传播网络以及卷积神经网络和子编码网络-Network with a limited depth of faith Boltzmann machine and reverse the spread of networks and convolution coding neural networks and sub-networks Platform: |
Size: 23552 |
Author:范煜 |
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Description: 受限玻尔兹曼机的训练程序，开发环境是MATLAB，受限玻尔兹曼机是深度学习理论中非常有用的一个预训练环节-Restricted Boltzmann machine training procedures, development environment is matlab, restricted Boltzmann machine is the depth of learning theory are very useful in a pre training links Platform: |
Size: 1024 |
Author:shaohaidong |
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Description: 深信度网络中的自编码部分，包括受限玻尔兹曼机训练，BP算法反向微调，深度学习入门学习材料！-Convinced of the network of self-coding parts, including Restricted Boltzmann Machine training, BP algorithm reverse trimming, deep learning introductory learning materials! Platform: |
Size: 11615232 |
Author:derrick rose |
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Description: 关于玻尔兹曼机的深度学习初始化的有关资料，编程语言采用Python，该资料浅显易懂，是了解玻尔兹曼机的好资料-Relevant information on the depth of the Boltzmann machine learning initialized using the programming language Python, the information easy to understand, is good information to understand Boltzmann machine Platform: |
Size: 1475584 |
Author:张大强 |
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Description: Instructions for example codes of the following paper:
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling
Andrew Kae, Kihyuk Sohn, Honglak Lee and Erik Learned-Miller
CVPR, 2013
project page: http://vis-www.cs.umass.edu/GLOC/ - Instructions for example codes of the following paper:
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling
Andrew Kae, Kihyuk Sohn, Honglak Lee and Erik Learned-Miller
CVPR, 2013
project page: http://vis-www.cs.umass.edu/GLOC/ Platform: |
Size: 120832 |
Author:Luan Porfirio |
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Description: This program trains Restricted Boltzmann Machine in which visible, binary, stochastic pixels are connected to hidden, binary, stochastic feature detectors using symmetrically weighted connections. Learning is done with 1-step Contrastive Divergence.-This program trains Restricted Boltzmann Machine in which visible, binary, stochastic pixels are connected to hidden, binary, stochastic feature detectors using symmetrically weighted connections. Learning is done with 1-step Contrastive Divergence. Platform: |
Size: 1024 |
Author:Christos Tselas |
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Description: Hinton的限制玻尔兹曼机源码，网上流传最多的版本-Hinton restrictions Boltzmann machine Source, circulated on the Internet version of the most Platform: |
Size: 2048 |
Author:Yang |
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Description: 本程序是用python写的一个深度学习程序，该程序基于限制性玻尔兹曼机实现了深度信念网络。(This procedure is a deep learning program written in python, the program based on the limited Boltzmann machine to achieve a depth of faith network.) Platform: |
Size: 1024 |
Author:我是谁谁
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