搜索资源列表
real_time_face_recognition
- tensorflow 人脸识别,基于Python+tensorflow。(tensorflow,Python,tensorflow)
tensorflow的cifar简洁代码
- tensorflow的cifar简洁代码
Chapter04
- 基于tensorflow 的神经网络的损失函数，学习率，正则化，滑动平均等方法(Method of loss function, learning rate, regularization and sliding average of neural network based on tensorflow)
卷积层，池化层样例
- tensorflow框架下的卷积层，池化层说明与样例，代码(Convolution layer, pooling layer illustration and sample code)
循环神经网络
- tensorflow框架下的循环神经网络实例代码，前向传播方式(Recurrent neural network instance code under tensorflow fr a mework, forward propagation mode)
seq2seq样例
- tensorflow框架下的交叉熵计算代码，序列到序列预测实例代码(Cross entropy calculation code, sequence to sequence prediction code)
FCN.tensorflow-master
- 全卷积网络图像分割。使用python和tensorflow的实现。(Image segmentation with full convolution network.)
配置分布式tensorflow
- 将一个大的任务分配给多个电脑运行的实例，需要自取(Assigning a large task to multiple instances of computer operation)
SVM_tensorflow-master
- SVM通过tensorflow训练iris数据集，寻找最优参数，使误差最小化(SVM trains iris data set through tensorflow to find the optimal parameters and minimize the error.)
DI
- 使用爬虫爬取医疗对话文本信息，并使用tensorflow进行NLP分析和分类。(obtain data using crow programme and then use TensorFlow to realize an NLP system to classify the data.)
TensorFlow-Book-master
- 博弈论应用于认知无线电的有价值的文章，可供初学者学习。(Various spectrum management schemes have been proposed in recent years to improve the spectrum utilization in cognitive radio networks. However, few of them have considered the existence of co
TensorFlow_Exercises-master
- TensorFlow非常好的例子，里面有很多例子程序，可以得到很好地训练。(A very good example of TensorFlow, there are many examples of programs that can be well trained.)
TensorFlow
- 白化深度学习与Tensorfolw，很好的机器学习入门书籍。(White Deep Learning and Tensorfolw are good introductory books for machine learning.)
mlcc-exercises_zh-CN
- 基于tensorflow的中文命名实体识别(python tensorflow Chinese nlp)
tensorflow-mnist
- 改进了官方的MNIST进阶demo，准确率提升。(The official MINIST advanced demo is improved and the accuracy is improved.)
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)
multihead_joint_entity_relation_extraction
- rdf三元组抽取,多头实体关系联合抽取模型,基于pytorch,tensorflow两种框架实现(multihead_joint_entity_relation_extraction pytorch torflow)
深度学习实现零件缺陷检测源代码(1)
- 结合VGG和残差网络实现工业零件的缺陷检测，基于keras和tensorflow可以直接运行使用(The defect detection of industrial parts is realized by combining VGg and residual network. Based on keras and tensorflow, it can be used directly)
tensorflow-deepq-master
- Tensorflow DQN master code
shiyan1
- 利用多GPU进行分布式训练,用的是tensorflow的Keras平台(Distributed Training Using Multi-GPU)