搜索资源列表
mtensorflow1
- tensorflow program utilizes deep learning techniques
mtensorflow3
- TensorFlow and Scikit Flow examples
image.py
- 在tensorflow深度学习平台上读取图像数据-Read image data on the tensorflow depth learning platform
tensorflow
- 讲解了tensorflow的简单应用与学习，快速熟悉tensorflow-Explain the simple application of tensorflow and learning, familiar with tensorflow quickly
AlexNet
- 基于AlexNet模型的手写数字识别，用Tensorflow实现，可直接运行，准确率达到98 以上-Model based AlexNet handwritten digit recognition, implemented Tensorflow, can be run directly, the accuracy rate of more than 98
CNN
- 用卷积神经网络实现的手写数字识别（minst）,可直接运行，识别率较高。用Tensorflow实现-Handwritten digital recognition (minst) with convolution neural network can be run directly and the recognition rate is high. Implemented with Tensorflow
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)
Car_100_5layers_English
- 车牌识别Python程序，使用五层的CNN网络，使用TensorFlow框架编程(car license plate recongition)
crfasrnn_keras-master
- Conditional Random Fields as Recurrent Neural Networks 论文中提供的方法，在tensorflow上实现(The method provided in the paper Conditional Random Fields as Recurrent Neural Networks which is implemented on tensorflow)
caffe-tensorflow-master
- 实现CamVid数据集分割功能，利用caffe转tensorflow模型，得以实现，使用FCN网络(come true the function of datasets of CamVid to segmantic segmentation)
cnn
- 基于python tensorflow框架构建的卷积神经网络用来识别图像，附带训练数据集的制作代码。(The convolution neural network based on the python tensorflow framework is used to identify images with the production code of the training data set.)
CNN_easy
- 简单CNN神经网络的TensorFlow实现(TensorFlow implementation of simple CNN neural network)
TensorFlow-Examples-master
- 基于Tensorflow的Unet实现，里面有详细的教程。(TensorFlow for Unet, in which there are detailed teaching lecture.)
CarND-TensorFlow-Lab-master
- Tensorflow lab练习，python!(Tensorflow lab testing)
tensorflow-master
- tensorflow模型框架，你能直接使用里面的大多数深度学习模型，能够帮助你对tensorflow有一个整体的理解。(this model could help you dive into tensorflow learing.you could use this model right now.)
Deep-Learning-TensorFlow-master
- tensorflow,深度学习框架，图像处理(Tensorflow, deep learning framework, image processing)
python
- 通过GAN和WGAN在python的tensorflow平台上实现图片生成，与真实图片基本一致。(Through GAN and WGAN, the image generation is realized on the tensorflow platform of python, which is basically the same as the real picture.)
PSPNet-tensorflow
- 源代码为PSPNet的tensorflow的实现的源代码，PSPNet是港中文发明的网络。(The source code of the source code PSPNet is tensorflow, PSPNet is the network invented by Chinese in Hong Kong.)
tensorflow-knn-双向LDA
- 基于LDA的人脸降维，精度比二维LDA的要高，有一定的运用价值。(orl tensorflow LDA PCA)
分布式tensorflow
- 1.使用distribute.py在分布式tensorflow中进行训练mnist模型 2.使用mnist_test.py进行测试模型，获取输出结果(1. Training MNIST model in distributed tensorflow using distribute.py 2. Use mnist_test.py to test the model and get the output results)