搜索资源列表
googleTensorFlow官方文档中文版
- google-第二代神经网络开源TensorFlow-官方文档中文版---v1.2(Google- second generation neural network open source TensorFlow- official documents in Chinese)
TensorFlow 官方文档中文版 - v1.2
- 深度学习的框架tensorflow官方指导案例(tensorflow deeplearning example)
tensorflow_install
- 谷歌人工智能框架tensorflow官方安装步骤(Google artificial intelligence framework tensorflow official installation steps)
TensorFlow 官方文档中文版 - v1.2
- 这是TensorFlow的文档，方便大家查阅TensorFlow的函数接口(This is DOC about TensorFlow.)
Tensorflow官方文档中文版
- Tensorflow官方文档中文版学习资料(Tensorflow official document Chinese version)
TensorFlow 官方文档中文版 - v1.2
- 关于tensorflow工具包的，一本很好的入门学习书，中文的(About the tensorflow toolkit, a good introductory learning book, Chinese)
resnet
- 使用 TensorFlow 实现 resNet, 也就是残差网络，为官方demo， 分别用 cifar 数据集和 ImageNet 数据集进行测试。(Using TensorFlow to achieve resNet, that is, the residual network, for official demo, respectively, using cifar data sets and ImageNet data sets for testing.)
TensorFlow 官方文档中文版 - v1.2
- tensorflow官方文档中文版，方便用python学习该深度学习框架(The Chinese version of the official document of tensorflow is convenient for learning the deep learning framework with Python)
TensorFlow 官方文档中文版 - v1.2
- 深度学习的框架tensorflow官方文档中文版(Deep learning framework tensorflow official document Chinese version)
TensorFlow 官方文档中文版 - v1.2
- tensorflow教程，官方版，极客学院编译，Tensorflow tutorial, official edition, geek Institute compilation(Tensorflow tutorial, official edition, geek Institute compilation)
TensorFlowv1.2
- google开发的python深度学习框架的官方手册，中文版。(tensorfloe user guide in chinese)
DeepLearningBooks
- caffe, tensorflow, 多本深度学习的经典框架入门书籍，官方文档等。(caffe, tensorflow, deeplearning frameworks to learn. several great text books.)
mnistA
- 手写识别，基于tensorflow的代码，包含数据源等，供学习，代码为官方源代码(Handwriting recognition, tensorflow based code, including data sources, etc. for learning, the code is official source code)
TensorFlow 官方文档中文版 - v1.2
- TensorFlow 官方文档中文版 - v1.2(TensorFlow official document Chinese version - v1.2)
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.)