一.源代码下载 代码最初来源于Github:https://github.com/vijayvee/Recursive-neural-networks-TensorFlow,代码介绍如下:“This repository contains the implementation of a single hidden layer Recursive Neural Network.Implemented in python using TensorFlow. Used the trained mode
本随笔记载与2019年1月23日,若随着技术发展,本随笔记录的困难被攻克也是可能的. 参考(https://www.reddit.com/r/docker/comments/86vzna/gpu_access_from_docker_container_windows_10/) Well you need to understand that direct access to the graphics card is done by a driver. If your host system i
1. 已经安装cuda但是tensorflow仍然使用cpu加速的问题 电脑上同时安装了GPU和CPU版本的TensorFlow,本来想用下面代码测试一下GPU程序,但无奈老是没有调用GPU. import tensorflow as tf with tf.device('/cpu:0'): a = tf.constant ([1.0, 2.0, 3.0], shape=[3], name='a') b = tf.constant ([1.0, 2.0, 3.0], shape=[3], nam