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Search results for deep learning rbm
deep-learning
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rbm
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13 search results found
Deeplearning_tutorials
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1,216
The deeplearning algorithms implemented by tensorflow
Boltzmann Machines
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792
Boltzmann Machines in TensorFlow with examples
Neupy
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729
NeuPy is a Tensorflow based python library for prototyping and building neural networks
Dll
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655
Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
Deeplearningtutorial
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576
Deep learning tutorial in Chinese/深度学习教程中文版
Sparse Evolutionary Artificial Neural Networks
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187
Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
Dnn
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164
Deep learning library for node.js. (Includes Logistic-Regression, MLP, RBM, DBN, CRBM, CDBN)
Medal
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101
Matlab Environment for Deep Architecture Learning
Boltzmann
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68
Boltzmann energy-based deep learning techniques.
Mnist Challenge
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64
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Boltzmann.jl
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60
Restricted Boltzmann Machines in Julia
Jlearn
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55
Machine Learning Library, written in J
Pydeep
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45
PyDeep is a machine learning / deep learning library with focus on unsupervised learning. The library has a modular design, is well documented and purely written in Python/Numpy. This allows you to understand, use, modify, and debug the code easily. Furthermore, its extensive use of unittests assures a high level of reliability and correctness.
Lbp Dbn Face Recognition
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42
使用LBP特征提取算法提取人脸特征,DBN网络来实现人脸识别,测试数据库ORL数据库,识别率可达90
Deep Belief Networks In Pytorch
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38
The aim of this repository is to create RBMs, EBMs and DBNs in generalized manner, so as to allow modification and variation in model types.
Boltzmannmachines.jl
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28
A Julia package for training and evaluating multimodal deep Boltzmann machines
Dbn
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17
Simple code tutorial for deep belief network (DBN)
Rbm
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17
Deep Convoluted Restricted Boltzmann Machine (Java)
Deep Learning Models
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16
Deep Learning Models implemented in python.
Rbm
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14
Restricted Boltzmann Machine implementation in Python for pre-training deep neural networks
Dltf
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14
Hands-on in-person workshop for Deep Learning with TensorFlow
Mapreduce Based Deep Learning
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12
2013 Fall Cloud Computing Project for Nerve Cloud group: MapReduce-Based Deep Learning
Adhd_classification_dbn_extraction
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8
Guide : Prof Sundaram Suresh (NTU- Singapore) Area: Deep learning neural networks for feature extraction in high dimensional neuro imaging data. Tools used: Standard neuro imaging software for preprocessing, a MATLAB deep learning toolbox DeeBNet. I used deep learning algorithms including RBM’s and CNN’s to train on an open source MRI data set and classify unseen fMRI scans as having ADHD or not. I was able to achieve accuracy scores of 64% which is incrementally better than the current start of
Python Dbn
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8
Learning about RBMs and DBNs
Deepnerualnetwork
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7
Deep learning tools including RBM and DBM
Android Malware Detection
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7
Android Malware detection using Deep Learning Hybrid Model.
Rbm_ae
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5
My python implementation of RBM and denoising Autoencoder for pre-training
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