Neural Networks and Deep learning 学习笔记 0. 课程介绍

课程介绍

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning. When you finish this class, you will: - Understand the major technology trends driving Deep Learning - Be able to build, train and apply fully connected deep neural networks - Know how to implement efficient (vectorized) neural networks - Understand the key parameters in a neural network's architecture. This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. This is the first course of the Deep Learning Specialization.

教授 Andrew Ng

Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain

为什么

If you want to break into cutting-edge AI, this course will help you do so.
为什么要学:进入前沿的AI领域。
Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities.
为什么要学:Deep learning受欢迎,学好它能获得新的工作机会。
Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago.
Deep learning能做什么:超级力量,建立起以前不可能做到的AI系统。

能学到什么

In this course, you will learn the foundations of deep learning.
在这门课程里,你能学到什么:深度学习的基础。
When you finish this class, you will:
- Understand the major technology trends driving Deep Learning
理解驱动DL的主要技术趋势
- Be able to build, train and apply fully connected deep neural networks
能够建立、训练、应用全面连接的深度学习网络
- Know how to implement efficient (vectorized) neural networks
知道如何实践有效的神经网络
- Understand the key parameters in a neural network's architecture.
理解一个神经网络结构的关键参数
This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description.
教你深度学习是如何工作的,并不是草草的浅显的描述。

学完后能获得什么

So after completing it, you will be able to apply deep learning to a your own applications.
能够将深度学习应用到你自己的应用中。
If you are looking for a job in AI, after this course you will also be able to answer basic interview questions.
对找工作的帮助:回答基本的面试问题。
This is the first course of the Deep Learning Specialization.
专项课程的第一门课。
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