搜索资源列表
benchmark_results-master
- 这组代码是关于深度学习开发的入门程序,我硕士期间开发的,能成功实现,对人工智能初学者具有重大帮助。-This set of code is on the depth of learning and development of the entry process, I developed during the master, can be successful, artificial intelligence beginners with great help.
gcforest
- 周志华教授深度森林算法代码,用于分类精度接近深度学习算法-Professor zhihua s deep forest algorithm code is used to classify precision approach to deep learning algorithm
deepwalk-master
- deepwalk,一种深度学习中对图的挖掘的应用(Deepwalk, an application of deep learning to graph mining)
convertor
- 用单片机实现的,其中使用了与汇编语言互相调用的功能(MCU control unit ,the program is used for convertor control, and is used successfully,you can download this)
Overview of Multi Task Learning
- 这是一篇综述,主要是关于基于深度学习的多任务学习的一些进展。(An Overview of Multi-Task Learning in Deep Neural Networks)
googleTensorFlow官方文档中文版
- google-第二代神经网络开源TensorFlow-官方文档中文版---v1.2(Google- second generation neural network open source TensorFlow- official documents in Chinese)
FCN.tensorflow-master
- 基于tensorflow,通过FCN实现图像分割的深度学习算法(Based on tensorflow, depth learning algorithm for image segmentation through FCN)
incrementallearning_LCKSVD_shared
- 单幅图像超分辨处理 深度学习 稀疏表示 字典学习(Single image, super-resolution processing, depth learning, sparse representation, dictionary learning)
SRCNN_v1
- 主要用于图像增强,眼白血管纹理增强,运用的是深度学习算法,超分辨率(For image enhancement, white vascular texture enhancement is the use of deep learning algorithms, super-resolution)
DeepLearnToolbox-master
- 这是用于深度学习的Matlab工具箱 深度学习是机器学习的一个新的子领域,专注于学习深层次的数据模型。 它的灵感来自于人类大脑的明显的深层次(分层的)层次结构。 目录包括`NN /` - 一个用于前馈反向传播神经网络的库,`CNN /` - 卷积神经网络库,`SAE /` - 堆叠式自动编码器库,`CAE /` - 卷积自动编码器库,`util /` - 库使用的功能函数,`data /` - 实例使用的数据,`tests /` - 单元测试来验证工具箱是否正常工作(A Matlab to
stackedAutoencoder
- 深度学习中堆栈自编码,栈式自编码。是由多层自编码构成的,深度神经网络(stackedAutoencoder is a deep learning method to deal with many data)
CNN_sentence-master
- 将深度学习中的卷积神经网络,用于自然语言处理的情感分析(The convolution neural network in depth learning is used for Natural Language Processing sentiment analysis)
caffe-ssd
- SSD和faster rcnn都是目前比较经典的基于caffe深度学习架构的一种方法,是目前比较先进的目标检测方法(SSD and faster RCNN are the most classic methods based on Caffe deep learning architecture, and they are more advanced target detection methods)
TensorFlow 官方文档中文版 - v1.2
- 深度学习的框架tensorflow官方指导案例(tensorflow deeplearning example)
GAN_file
- 本代买是深度学习部分 GAN修改代码,用于coffe框架(deep learning GAN code)
caffe-master
- 深度学习资料,caffe 架构的源代码(caffe-master)(Deep learning Caffe framework Source code)
Dual Deep Network for Visual Tracking
- 转载:基于深度学习方法来实现行人再识别的程序段。(To achieve pedestrian re-recognition of the program)
DeepLearnToolbox-master
- 深度学习的matlab工具箱,用于机器学习图像处理等领域(deep learning tool box , machine learning)
tensorflow
- 深度学习框架有利于在python编程语言下进行深度学习的一系列工作(The Deep Learning Framework facilitates a series of in-depth learning in the python programming language)
siamese-fc-master
- 深度学习中的孪生网络 matlab编码,可以进行很好的分类(Depth learning in the twin network matlab coding, can be a good classification)