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所在平台: Udemy |
课程主页: https://www.udemy.com/course/neural-network/
课程评论：没有评论
课程名称：从零开始使用Python编写神经网络：通过实践学习 概述：**最快速理解（和编程）神经网络的方法，使用Python。** 本课程适合所有希望通过动手编程了解神经网络工作原理的人！每个人都在谈论神经网络，但没有亲自搭建一个很难理解。幸运的是，所需的数学和编程技能（Python）处于基础水平，因此我们可以在3个多小时内编程出3个神经网络。不要浪费时间！本课程经过优化，旨在让您在最短的时间内深入了解这一迷人主题。重点完全放在实践学习上，我只在实际需要时引入新概念。 您将学习到： 课程短暂介绍后，分为三个部分，每部分1小时： 1）搭建最简单的神经网络：计算两个数字的和。 您将学习到： - 神经网络架构 - 权重、输入和输出层 - 训练与测试数据 - 精度与误差函数 - 前馈与反向传播 - 梯度下降 2）我们对该网络进行修改：确定和的符号。 您将接触到： - 隐藏层 - 激活函数 - 分类 3）我们的网络可以应用于各种问题，例如图像识别：识别手写数字！ 在这一有趣而实用的现实应用之后，我将展望： - 如何改进网络 - 神经网络可以解决的其他问题 - 如何轻松使用预训练网络 关于讲师： 我的名字是Börge Göbel，我是一名从事理论物理研究的博士后，神经网络在我领域中应用广泛。我在理论物理学方面的本科生、硕士生和博士生的辅导技能得到了提升，并在Udemy上开设了其他成功的课程。 “出色的课程！以简单易懂的方式解释了神经网络在幕后运作的方方面面。” - Srdan Markovic 我希望您对本课程感到兴奋，并热烈欢迎您加入我们的学习旅程！
** The quickest way to understanding (and programming) neural networks using Python **This course is for everyone who wants to learn how neural networks work by hands-on programming!Everybody is talking about neural networks but they are hard to understand without setting one up yourself. Luckily, the mathematics and programming skills (python) required are on a basic level so we can progam 3 neural networks in just over 3 hours. Do not waste your time! This course is optimized to give you the deepest insight into this fascinating topic in the shortest amount of time possible.The focus is fully on learning-by-doing and I only introduce new concepts once they are needed.What you will learnAfter a short introduction, the course is separated into three segments - 1 hour each:1) Set-up the most simple neural network: Calculate the sum of two numbers.You will learn about:Neural network architectureWeights, input & output layerTraining & test dataAccuracy & error functionFeed-forward & back-propagationGradient descent2) We modify this network: Determine the sign of the sum. You will be introduced to:Hidden layersActivation functionCategorization3) Our network can be applied to all sorts of problems, like image recognition: Determine hand-written digits!After this cool and useful real-life application, I will give you an outlook:How to improve the networkWhat other problems can be solved with neural networks?How to use pre-trained networks without much effortWhy me?My name is Börge Göbel and I am a postdoc working as a scientist in theoretical physics where neural networks are used a lot.I have refined my advisor skills as a tutor of Bachelor, Master and PhD students in theoretical physics and have other successful courses here on Udemy."Excellent course! In a simple and understandable way explained everything about the functioning of neural networks under the hood." - Srdan MarkovicI hope you are excited and I kindly welcome you to our course!
