When you enroll in this course, you'll also be enrolled in this Specialization.
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
There are 4 modules in this course
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.
By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications.
The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.
Analyze the major trends driving the rise of deep learning, and give examples of where and how it is applied today.
What's included
6 videos3 readings1 assignment1 app item
Show info about module content
6 videos•Total 74 minutes
Welcome•6 minutes
What is a Neural Network?•7 minutes
Supervised Learning with Neural Networks•8 minutes
Why is Deep Learning taking off?•10 minutes
About this Course•2 minutes
Geoffrey Hinton Interview•40 minutes
3 readings•Total 13 minutes
Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas!•2 minutes
Frequently Asked Questions•10 minutes
Lecture Notes W1•1 minute
1 assignment•Total 50 minutes
Introduction to Deep Learning •50 minutes
1 app item•Total 1 minute
Intake Survey•1 minute
Neural Networks Basics
Week 2•8 hours to complete
Module details
Set up a machine learning problem with a neural network mindset and use vectorization to speed up your models.
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DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.
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YM
5·
Reviewed on Dec 18, 2018
The best and simplest neural network course i have come across. Andrew Ng makes the mathematical concepts subtle and understandle. Neural network for me is no longer a black box.Thank you Andrew Ng
M
MG
5·
Reviewed on Jul 28, 2020
Pretty well organized with really helpful examples and assignment especially. Definitely made the basis for deep learning algorithms. Looking forward to the next modules and dive deep in this domain.
S
SM
5·
Reviewed on Jun 13, 2021
Andrew Ng is one of the best teachers out there to learn NNs and DL. His deep insight into the math of the subject gives us motivation to learn more, amazing course to learn the basics of the subject.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.