11 2018 档案

摘要:在ubuntu中安装好spyder后, 打开spyder发现无法输入。 在打开spyder的终端窗口,有如下提示: 解决方法 到自己的home目录下(~),打开资源配置文件: 然后在文件末尾添加两行: 然后重新加载环境: 打开spyder 问题解决 来源: https://blog.csdn.net 阅读全文
posted @ 2018-11-22 23:06 Jerry_Jin 阅读(3038) 评论(0) 推荐(0)
摘要:Introduction One of the most basic tasks that you should know how to do on a fresh Linux server is add and remove users. When you create a new system, 阅读全文
posted @ 2018-11-22 21:22 Jerry_Jin 阅读(819) 评论(0) 推荐(0)
摘要:Windows 多用户远程桌面连接到 Ubuntu / Linux Access Ubuntu from Windows remotely Follow these steps : Step 1 – Install xRDP Open Terminal (Crtl+Alt+T) and execut 阅读全文
posted @ 2018-11-22 21:05 Jerry_Jin 阅读(593) 评论(0) 推荐(0)
摘要:The model.evaluate function predicts the output for the given input and then computes the metrics function specified in the model.compile and based on 阅读全文
posted @ 2018-11-21 20:18 Jerry_Jin 阅读(2205) 评论(0) 推荐(0)
摘要:如果遇到: Ubuntu 下解决方法: 或者尝试安装: 阅读全文
posted @ 2018-11-21 15:20 Jerry_Jin 阅读(2257) 评论(0) 推荐(0)
摘要:How to upgrade Debian 8 Jessie to Debian 9 Stretch Contents 1. Objective 2. What's New 3. Preparations 4. Jessie Full Upgrade 5. Update Package Reposi 阅读全文
posted @ 2018-11-17 15:42 Jerry_Jin 阅读(1734) 评论(0) 推荐(0)
摘要:Click here to download the source code to this post. In this tutorial, you’ll learn how to use the YOLO object detector to detect objects in both imag 阅读全文
posted @ 2018-11-13 16:03 Jerry_Jin 阅读(5690) 评论(0) 推荐(0)
摘要:Super fast color transfer between images About a month ago, I spent a morning down at the beach, walking along the sand, letting the crisp, cold water 阅读全文
posted @ 2018-11-13 15:18 Jerry_Jin 阅读(2674) 评论(0) 推荐(0)
摘要:https://sigmoidal.io/beginners-review-of-gan-architectures/ 嗨,大家好!像许多追随AI进展的人一样,我无法忽略生成建模的最新进展,尤其是图像生成中生成对抗网络(GAN)的巨大成功。看看这些样本:它们与真实照片几乎没有区别! Samples 阅读全文
posted @ 2018-11-13 10:55 Jerry_Jin 阅读(6111) 评论(0) 推荐(0)
摘要:0、首先给出nvflash官网下载地址: https://www.techpowerup.com/download/nvidia-nvflash/ 刷入命令 多显卡刷入前先执行以下命令查看需要刷入的显卡ID 然后执行 注意index命令后的值为想要刷入的显卡ID 1、利用 nvflash 刷GPU的 阅读全文
posted @ 2018-11-06 16:07 Jerry_Jin 阅读(9745) 评论(0) 推荐(0)
摘要:一、基本结构 参考deep learning. Ian Goodfellow的chapter9 两种操作的区别在于是否做翻转,使用的时候将这两种操作都叫做了convolution 三个优势[1]: - sparse interactions - parameter sharing - equivar 阅读全文
posted @ 2018-11-02 17:12 Jerry_Jin 阅读(2527) 评论(0) 推荐(0)
摘要:前言 总结目前语音识别的发展现状,dnn、rnn/lstm和cnn算是语音识别中几个比较主流的方向。2012年,微软邓力和俞栋老师将前馈神经网络FFDNN(Feed Forward Deep Neural Network)引入到声学模型建模中,将FFDNN的输出层概率用于替换之前GMM-HMM中使用 阅读全文
posted @ 2018-11-02 16:57 Jerry_Jin 阅读(7126) 评论(0) 推荐(0)
摘要:An Intuitive Explanation of Convolutional Neural Networks Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have 阅读全文
posted @ 2018-11-02 16:43 Jerry_Jin 阅读(857) 评论(0) 推荐(0)