A tutorial on installing TensorFlow quickly under Linux __linux

Basic knowledge

1. Use diagram (graphs) to represent the calculation

2. Execute diagram in session

3. Using tensor (tensors) to represent data

4. Maintain state through variable (variables)

5. Use of supply (feeds) and retrieval (fetches) for incoming or outgoing data

(in the process of looking at the code, there are not clear functions, go to the Python API here to find the corresponding function to see https://www.tensorflow.org/api_docs/python/)

My installation TensorFlow process (almost smooth) (CPU edition) Install in sequence 1. VMware Pro (license secret key to the home copy of the system) 2. Ubuntu 14.04 LTS (Simple configuration of basic skills: Network Sogou Input Method windows and Ubuntu drag files) (http://mp.blog.csdn.net/postedit/791622 ) (http://mp.blog.csdn.net/postedit/78400367) 3. Anaconda (http://blog.csdn.net/lzc4869/article/details/78697223) 4. TensorFlow (http://blog.csdn.net/lzc4869/article/details/78697301)

Next, according to Http://www.tensorfly.cn/tfdoc/get_started/basic_usage.html,

Learn about basic usage and learn from it in a step-by-step way