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 TensorFlowCNTK, 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. jquery 应用

    http://www.jq22.com/ gwj6396668@163.com

  2. python视频 神经网络 Tensorflow

    python视频 神经网络 Tensorflow 模块 视频教程 (带源码) 所属网站分类: 资源下载 > python视频教程 作者:smile 链接:http://www.pythonhei ...

  3. pip 打包项目配置库

    打包项目中配置库(filename为文件名,可修改) pip freeze > filename.txt 安装配置文件中所有的库包 pip install -r filename.txt 如提示 ...

  4. Spider-Python爬虫之聚焦爬虫与通用爬虫的区别

    为什么要学习爬虫? 学习爬虫,可以私人订制一个搜索引擎. 大数据时代,要进行数据分析,首先要有数据源. 对于很多SEO从业者来说,从而可以更好地进行搜索引擎优化. 什么是网络爬虫? 模拟客户端发送网络 ...

  5. popup介绍

    一.作用 用于使浏览器自动生成弹窗 二.示例 1.新建Django项目,新建APP:app01, 项目根目录下新建文件夹static 2.静态文件配置,在settings.py中配置static: 3 ...

  6. 59. Spring Boot Validator校验【从零开始学Spring Boot】

    大纲: (1) 入门例子: (2) 国际化: (3) 在代码中添加错误信息: (1) 入门例子: Validator主要是校验用户提交的数据的合理性的,比如是否为空了,密码长度是否大于6位,是否是纯数 ...

  7. NYOJ-58最少步数,广搜思想!

    最少步数 时间限制:3000 ms  |  内存限制:65535 KB 难度:4 ->   Link  <- 这个题深搜广搜都是可以的,迷宫已经给出了,就看怎么做了:一般起点终点确定用广搜 ...

  8. Help Jimmy DP

    Help Jimmy" 是在下图所示的场景上完成的游戏. 场景中包括多个长度和高度各不相同的平台.地面是最低的平台,高度为零,长度无限. Jimmy老鼠在时刻0从高于所有平台的某处开始下落, ...

  9. SQL SERVER示例:修改自定义数据类型精度

    /*--修改自定义数据类型精度的示例      自定义数据类型一旦被引用,就不能再修改和删除,如果要修改数据的精度,就非常麻烦,下面的示例演示了如何修改      假设要修改的自定义变量名为aa -- ...

  10. Remove Duplicates from Sorted List (链表)

    Given a sorted linked list, delete all duplicates such that each element appear only once. For examp ...