搜索资源列表
Adaptive-DeconvNetToolbox
- 自适应卷积网络工具箱，深度学习入门者可以研究看看。-The Adaptive the convolution Network Toolbox, depth learning beginners can look at the problem.
DeepPLearning_book
- 图像处理中的深度学习，主要是原理的讲解，比较易懂,对于。-Image processing in deep learning, mainly to explain the principle, relatively easy to understand.
nips2012_supplementary
- 通过波尔兹曼机深度学习进行图像分割,分割效果明显好于一般方法，并且通用性较强。-Boltzmann machine through deep learning for image segmentation
CDBM-master
- 深度学习理论下的深度波尔兹曼机（DBM），用于图像的自动的特征提取及识别。-Depth Depth Boltzmann machine learning theory under (DBM), for automated image feature extraction and recognition.
DeepLearnToolbox
- 关于深度学习的比较好的代码参考资料，包括CAE，CNN,DBN,NN,SAE等基准程序-Depth learning about good code references, including CAE, CNN, DBN, NN, SAE and other benchmarks
Autoencoder_Code
- 深度学习的手写体代码；最新的仅供参考，很实用-deep learning
DeepLearnToolbox-master
- 这是关于深度学习的一些很重要的代码 包括基础的深度学习 RBM等，还有用深度学习去训练神经网络-This is about the depth of learning, including some very important code based on the depth of learning RBM, as well as by the depth of learning to train the neural network, etc.
rcnn-master
- 区域卷积网络 深度学习在目标检测、图像分割方面的应用代码 基于caffe操作平台-region convolutional net ,the adaptin of dep learning on object detection and segmentation
Deep Learn 深度学习
- 基于深度学习的论文资料和最新的源代码学习资料，非常值得学习。-face recognition
图像识别中的深度学习
- 图像识别中的深度学习资料，非常好用，是辛辛苦苦收集得到的(Deep learning data in image recognition, very useful, is hard to collect)
SRGAN-master
- 这是一个基于深度学习的超分辨率图像复原技术的例子(This is a deep learning based super-resolution image restoration technology for example)
深度学习与计算机视觉代码
- 《深度学习与计算机视觉》配套代码，对深度学习入门与提高有帮助。("Deep learning and computer vision" supporting code for the introduction and improvement of the depth of learning help.)
numpy
- 图像处理，理论研究，深度学习，机器学习，python(Image processing, theoretical research, depth learning, machine learning, Python)
DeepLearnToolbox-master
- MATLAB的深度学习工具包，可配置于2015版本以上的MATLAB，很有用(MATLAB's depth learning kit)
Convolutional-Neural-Network-master
- matlab，深度学习工具箱，经典的卷积神经网络，共有两层卷积层。输入为28*28*1的图片(Matlab, the deep learning toolbox, the classic convolution neural network, has two volumes of layers. A picture entered into 28*28*1)
数据转存hdf5
- 可以在matlab上通过此代码讲深度学习的图像样本实现数据的hdf5转存(HDF5 transfer of data can be realized)
salience_object_detection-master
- 用深度学习框架Pytorch的图像语义分割(Image semantic segmentation using deep learning framework Pytorch)
DeepLearningImageClassificationExample
- 这是一个标准的深度学习图像分类和目标跟踪的matlab程序，效果好，运行平台为matlab2017b.(This is a standard in-depth learning image classification and target tracking matlab program, good results, running platform for matlab 2017b.)
halcon_deeplearning_mnist
- 用HALCON实现对手写数字的识别，用了深度学习模块，可以用于HALCON的学习研究。(HALCON in DeepLearning)
基于深度学习的手写数字体识别
- 基于深度学习的手写数字体识别，以卷积神经网络（CNN）作为网络模型，利用mnist手写数字训练数据集训练手写数字识别模型，搭建手写数字识别系统，并用自己手写的数字照片进行测试。