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. html页面比较长,如何用js实现网页一打开显示在网页的中部？

    加入js代码 <style type="text/css"> body { height: 2000px; } </style> <script ty ...

  2. torch学习笔记(二) nn类结构-Linear

    Linear 是module的子类,是参数化module的一种,与其名称一样,表示着一种线性变换. 创建 parent 的init函数 Linear的创建需要两个参数,inputSize 和 outp ...

  3. 关于C/C++的一些思考（1）

    C++的前世今生: C的结构化思想: Ada的模版思想: Fortran的运算符重载思想: Simula的OO思想:封装,继承,多态: C++类型描述了变量的三个特征: 该类型在内存中占用物理空间的大 ...

  4. linux性能优化cpu-01性能指标

    学习性能优化的第一步,一定要了解性能指标. 性能指标是什么? 当我们看到性能指标时一定先想到“高并发”.“响应快”,这个两个指标也对应着性能优化的两个核心指标—— “吞吐率”和“低延迟”. 这两个指标 ...

  5. python3 监控代码变化 自动重启 提高开发效率

    #!/usr/bin/env python3 # -*- coding: utf-8 -*- __author__ = 'Michael Liao' import os, sys, time, sub ...

  6. Android使用JDBC连接数据库

    连接数据库是安卓开发中几乎不可避免的一项工作,稍有规模的应用通常都需要使用数据库来存储用户数据.对于本地数据库当然可以使用sqlite,而对于多用户线上应用,则一般需要配备云端数据库.其中比较常用且开 ...

  7. 2017 计蒜之道 初赛 第一场 A 阿里的新游戏

    题链:https://nanti.jisuanke.com/t/15499 这题观察图纸可知成三线段上的相邻点之间的距离有1,2,3三种情况的,同时要成线段必然是同横坐标或者纵坐标,然后我们排除掉穿过 ...

  8. css伪类实现文字两侧划线效果

    css伪类实现文字两侧划线效果,效果如下: 代码如下: <!DOCTYPE HTML> <html> <head> <title> css伪类的学习 & ...

  9. C++ stringstream的用法

    Created at    stringstream的用法 使用stringstream对象简化类型转换 C++标准库中的<sstream>提供了比ANSI C的<stdio.h&g ...

  10. [luoguP3572] [POI2014]PTA-Little Bird（DP + 单调队列）

    传送门 DP方程 f[i] = f[j] + (a[j] <= a[i]) ( i - k < j < i ) 要使 f[i] 最小,需要等号后面的值最小,可以用单调队列来维护. 至 ...