内容简介：AYou are all set!Supported languages:
Synapses
A lightweight library for neural networks that runs anywhere .
Getting Started
Why Sypapses?
It's easy
- Add one dependency to your project.
- Write a single import statement .
- Use a few pure functions .
You are all set!
Supported languages:
It's compatible across languages
- The interface is common across languages.
- You can transfer a network from one platform to another via its json instance . Create a neural network in Python , train it in Java and get its predictions in JavaScript !
It's customizable
You can specify the activation function and the weight distribution for the neurons of each layer. If this is not enough, edit the json instance of a network to be exactly what you have in mind.
It's efficient
The implementation is based on lazy list . The information flows smoothly. Everything is obtained at a single pass.
Data preprocessing is simple
By annotating the discrete and continuous attributes , you can create a preprocessor that encodes and decodes the datapoints.
Works for huge datasets
The functions that process big volumes of data, have an Iterable/Stream as argument. RAM should not get full!
It's well tested
Every function is tested for every language. Please take a look at the test projects.
Dependencies
1 : Your Honour should be aware that I mean almost anywhere.
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持 码农网
猜你喜欢:
本站部分资源来源于网络，本站转载出于传递更多信息之目的，版权归原作者或者来源机构所有，如转载稿涉及版权问题，请联系我们。
轻量级Django
茱莉亚·埃尔曼 (Julia Elman)、马克·拉温 (Mark Lavin) / 侯荣涛、吴磊 / 中国电力出版社; 第1版 / 2016-11-1 / 35.6
自Django 创建以来，各种各样的开源社区已经构建了很多Web 框架，比如JavaScript 社区创建的Angular.js 、Ember.js 和Backbone.js 之类面向前端的Web 框架，它们是现代Web 开发中的先驱。Django 从哪里入手来适应这些框架呢？我们如何将客户端MVC 框架整合成为当前的Django 基础架构？ 本书讲述如何利用Django 强大的“自支持”功......一起来看看 《轻量级Django》 这本书的介绍吧!
