资源列表
Embedded_3566697BoxDHOORY3592616
- 源码Embedded_3566697BoxDHOORY3592616功能还是不错的，用来学习与研究开发还是不错的-Source Embedded_3566697BoxDHOORY3592616 function is good, used to study and research and development is still good
ns2_source-code-of-vanet-_119867.tar
- source code of vanet using ns2 .helpful for students and researcher . c++ code
Process__9965416UNSKILLED40325054
- 分享一个系统源码Process__9965416UNSKILLED40325054给大家学习与参考，很不错-Share a system source Process__9965416UNSKILLED40325054 learning and reference for everyone, very nice
SAE_DBN_CNNToolbox
- 多种深度学习框架，主要包括堆栈稀疏自动编码器，深信度网络，卷积神经网络等。对于灰度图像和高维图像，展现非常强大的学习性能。-A variety of deep learning framework, including automatic stack sparse encoder, is convinced of the network, convolution neural networks. For grayscale images and high-dimensional image, s
ASP3403687
- 这个代码ASP3403687功能比较强大，里面的功能方面也是比较好的-This code ASP3403687 function is strong, the inside of the function is better
TEXTILE--1970Collection871882
- 此处摘来的TEXTILE 1970Collection871882源码，可以用来学习与参考，值得-Here plucked TEXTILE- 1970 collection871882 source code, can be used to study and reference, worth it
CKWXRWS
- 这个源码功能是窗口外形任我设，功能也很强大哦-The source function is window appearance term I set, is also very powerful
FlashMX_447673Other__0252263Static1
- 源码FlashMX_447673Other__0252263Static1是个不错的源码，功能也已经集成到一起了-Source FlashMX_447673Other__0252263Static1 is a good source, functions have also been integrated together
Buttonfttl733966LABOURER989296
- 与大家一起分享源码Buttonfttl733966LABOURER989296的功能，源码还是不错的-And share the source code Buttonfttl733966LABOURER989296 function, source code is ok
ELECTRICIAN__70080TURNER-2098746
- 这是一个不错的代码ELECTRICIAN__70080TURNER-2098746，可以学习，很适合同学们学习用-This is a good code ELECTRICIAN__70080TURNER- 2098746, can learn, very suitable for students with learning
SHIPBUILDER9640934
- 这是一个不错的源码SHIPBUILDER9640934，功能还是不错的，可以学习参考-This is a good source SHIPBUILDER9640934, function is good, can learn the reference
CNN-pooling-strategy
- 基于卷积层和池化层的卷积深度网络被执行，该框架可以有效地识别灰度图像，彩色图像和高光谱图像。- Convolution deep network based on convolution layer and pooling layer is performed, the framework can effectively identify grayscale images, color images and hyperspectral images.