搜索资源列表
mtensorflow1
- tensorflow program utilizes deep learning techniques
mtensorflow3
- TensorFlow and Scikit Flow examples
skflow-master
- 「TensorFlow」是 Google 多年以来内部的机器学习系统。如今，Google 正在将此系统成为开源系统，并将此系统的参数公布给业界工程师、学者和拥有大量编程能力的技术人员，这意味着什么呢？- TensorFlow Google is for many years inside the machine learning system. Today, Google is this system becomes open source, and will be published par
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 cognitive attackers who can adap
利用tensorflow编写的vgg16网络跑cifar10
- 利用tensorflow编写的vgg16网络跑cifar10，使用python语言，精确度较高.
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)
tensorflow预测产品价格
- 使用tensorflow进行预测，通过市场销量等数据预测产品的价格
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)
ResNet-Tensorflow-master
- 使用tensorflow框架对高光谱图像进行识别、分类(Recognition and classification of hyperspectral images using densenet structure)
RNN_股票预测
- 基于python语言，tensorflow框架，通过rnn循环神经网络实现对茅台酒开盘价的预测(Based on Python language and TensorFlow framework, the prediction of opening price of Moutai wine was realized through RNN circulating neural network)
tensorflow三层模型搭建实现图像识别
- 本模型使用python,搭建一个最简单的tensorflow,方便初学者快速入门tensorflow,模型整体三层架构,详细情况以及常见的坑,在代码注解中都存在,比如tensorflow日志筛选等小问题,但让人头疼的问题
Basic_CNNs_TensorFlow2-master
- 使用TensorFlow框架书写的各主流CNN网络模型，没有数据集，可自行更改，能跑通(The mainstream CNN network models written by tensorflow framework have no data set and can be changed by themselves and can run through)