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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hoangquyla-the-multilayer-artificial-neural-network-course-with-python/
课程评论：没有评论
**课程名称：** The Multilayer Artificial Neural Network Course with Python (Python多层人工神经网络课程) **课程概述：** 本课程专为对深度学习感兴趣的学习者设计，旨在以简单易懂的方式讲解复杂的人工神经网络理论、算法及相关代码库。课程将带领学习者一步步深入了解人工神经网络的世界，注重理论深度与实践趣味的结合。 **课程结构：** * **第一部分：** 引言 (Introduction) * **第二部分：** 基础神经网络 (Fundamental Neural Network) * **第三部分：** 神经网络建模 (Modelling neural networks) * **第四部分：** 手写数字分类 (Classifying Handwritten digits) **课程内容亮点：** * **工具涵盖：** TensorFlow、反向传播 (back-propagation)、前馈网络 (feed-forward network) 等。 * **关键技术：** **特别强调并深入讲解反向传播算法**，这被认为是许多在线课程的遗漏点。课程不仅会阐述反向传播的理论，还会通过项目实践进行实现，帮助学习者建立深刻理解，为求职增加优势。 * **实践导向：** 课程包含大量基于真实案例的实践练习，让学习者在学习理论的同时，动手构建自己的模型。 * **项目实战：** 课程设置了三个大型项目和若干小型项目，巩固学习成果。项目主题包括：手写数字 (Handwritten Digit)、出生体重 (Birth weights)、MNIST等。 **目标：** 帮助学习者成为一名人工神经网络领域的专家。
Interested in the field of Deep learning? Then this course is for you!This course has been designed to share my knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.I will walk you step by step into the world of artificial neural networks. This course is fun and exciting, but at the same time, we dive deep into the artificial neural network. It is structured the following way:Section 1: Introduction.Section 2: Fundamental Neural NetworkSection 3: Modelling neural networksSection 4: Classifying Handwritten digitsThere are lots of tools that we will cover in this course. These tools include TensorFlow, back-propagation, feed-forward network, and so on. A lot of other online courses did not cover back-propagation and this is a huge MISTAKE as back-propagation is an important topic. This course will not only cover back-propagation in theory but also implement it in the project. So you will have a deep understanding of back-propagation. You can empress your potential employer by showing the project with back-propagation.Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are three big projects and some small projects to practice what you have learned throughout the course. These projects are listed below:Handwritten Digit.Birth weightsMNISTBecome an artificial neural network guru today! I will see you inside the course!
