Introduction to Deep Learning - About this Course

王彩旗 edwardwangcq.com

于 2021-05-26 13:10:22 发布

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分类专栏： # Neural Networks and Deep Learning 人工智能

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该博客介绍了Andrew Ng的深度学习专项课程，包括神经网络和深度学习的基础知识，如前向传播和反向传播算法，以及如何构建和训练深度神经网络。课程分为五个部分，涉及超参数调优、项目结构、卷积神经网络和自然语言处理。第一门课程详细讲解了深度学习的基本概念，并通过编程练习来巩固所学内容。

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This is the notes when study the course "Neural Networks and Deep Learning", week 1 "Introduction to Deep Learning", by Andrew Ng.

Followings are the five courses of this specialization:

Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter tuning, Regulization and Optimization
Structuring your Machine Learning project
Convolutional Neural Networks
Natural Langurage Processing: Building sequence models

The first course teaches you the most important foundations of deep learning. By the end of the first couse, you know how to build and get to work a deep neural network.

And followings are the details of what is in this first course:

Week 1: Introduction to Deep Learning
Week 2: Basics of Neural Network programming
Week 3: One hidden layer Neural Networks
Week 4: Deep Neural Networks

In week 2, you'll learn the forward propagation and the back propagation steps of the algorithm. And how to implement neural networks efficiently. Starting from the second week, you also get to do a programming exercise, that lets you practice the material you've just learned. In week 3, you code up a single hidden layer neural network. So you learn about all the key concepts needed to implement and get to work in neural network. Finally in week 4, you build a deep neural network with many layers.

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