Keras Documentation https://keras.io/

You have just found Keras.

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, orTheano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.

Use Keras if you need a deep learning library that:

  • Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
  • Supports both convolutional networks and recurrent networks, as well as combinations of the two.
  • Runs seamlessly on CPU and GPU.

a high-level neural networks AP的更多相关文章

  1. Deep Learning 23：dropout理解_之读论文“Improving neural networks by preventing co-adaptation of feature detectors”

    理论知识:Deep learning:四十一(Dropout简单理解).深度学习(二十二)Dropout浅层理解与实现.“Improving neural networks by preventing ...

  2. [转]Neural Networks, Manifolds, and Topology

    colah's blog Blog About Contact Neural Networks, Manifolds, and Topology Posted on April 6, 2014 top ...

  3. A Beginner's Guide To Understanding Convolutional Neural Networks(转)

    A Beginner's Guide To Understanding Convolutional Neural Networks Introduction Convolutional neural ...

  4. ON THE EVOLUTION OF MACHINE LEARNING: FROM LINEAR MODELS TO NEURAL NETWORKS

    ON THE EVOLUTION OF MACHINE LEARNING: FROM LINEAR MODELS TO NEURAL NETWORKS We recently interviewed ...

  5. 提高神经网络的学习方式Improving the way neural networks learn

    When a golf player is first learning to play golf, they usually spend most of their time developing ...

  6. （转）A Beginner's Guide To Understanding Convolutional Neural Networks Part 2

    Adit Deshpande CS Undergrad at UCLA ('19) Blog About A Beginner's Guide To Understanding Convolution ...

  7. （转）A Beginner's Guide To Understanding Convolutional Neural Networks

    Adit Deshpande CS Undergrad at UCLA ('19) Blog About A Beginner's Guide To Understanding Convolution ...

  8. 深度卷积神经网络用于图像缩放Image Scaling using Deep Convolutional Neural Networks

    This past summer I interned at Flipboard in Palo Alto, California. I worked on machine learning base ...

  9. Classifying plankton with deep neural networks

    Classifying plankton with deep neural networks The National Data Science Bowl, a data science compet ...

随机推荐

  1. 小程序input自动聚焦拉起键盘

    微信官方提供了两种自动聚焦的方法 1,auto-focus 接受boolean值:默认为false:只需设置为true即可 自动聚焦,拉起键盘:不过官方的提示即将废弃,所以能不用还是不要用 2,foc ...

  2. show（）的方向

    <!DOCTYPE html> <html> <head> <meta http-equiv="Content-Type" content ...

  3. [Python3网络爬虫开发实战] 3.3-正则表达式

    本节中,我们看一下正则表达式的相关用法.正则表达式是处理字符串的强大工具,它有自己特定的语法结构,有了它,实现字符串的检索.替换.匹配验证都不在话下. 当然,对于爬虫来说,有了它,从HTML里提取想要 ...

  4. [Python3网络爬虫开发实战] 3.1.2-处理异常

    前一节我们了解了请求的发送过程,但是在网络不好的情况下,如果出现了异常,该怎么办呢?这时如果不处理这些异常,程序很可能因报错而终止运行,所以异常处理还是十分有必要的. urllib的error模块定义 ...

  5. SVN CommandLine

    要是SVN命令行用不了的话: 1.SVN装了没? 2.SVN安装时,选项“command line client tools”选了没. 检出: svn checkout [-depth ARG] [- ...

  6. 通过更改scrapy源码进行spider分发实现一个综合爬虫

    最近我正写一个项目,项目的需求如下一,要爬取大约100种几百个网页的类容,并且这些网页的爬取频率不一样,有些一天爬取一次,有些一周爬取一次,二,网页爬取内容有变化,也就是说要爬取的内容会根据需求进行改 ...

  7. Python之微信-微信机器人

    一 简介 二 登录微信 三 微信好友男女比例 四 微信好友地域分布 五 微信聊天机器人 一 简介 wxpy基于itchat,使用了 Web 微信的通讯协议,,通过大量接口优化提升了模块的易用性,并进行 ...

  8. Codeforce 741B Arpa's weak amphitheater and Mehrdad's valuable Hoses（并查集&分组背包）

    题意: 给定n个价值为b 花费为w的物品, 然后某些物品是属于同一个组的, 给定一个花费限制V, 求在小于等于V的情况下取得到的价值最大为多少,能对于同一个组的物品,要么全取,要么只取一个. 分析: ...

  9. 【转】Asp.net MVC Comet推送

    原文链接:http://www.cnblogs.com/kissdodog/p/4283485.html 一.简介 在Asp.net MVC实现的Comet推送的原理很简单. 服务器端:接收到服务器发 ...

  10. BNUOJ 35759 The Great Pan

    The Great Pan Time Limit: 1000ms Memory Limit: 65536KB This problem will be judged on HDU. Original ...