In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.
Neural Networks and Deep Learning
Neural Networks and Deep Learning
This course is part of Deep Learning Specialization
Instructors: Andrew Ng
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1,168,580 already enrolled
Course
Gain insight into a topic and learn the fundamentals
4.9
(117,857 reviews)
Intermediate level
Recommended experience
24 hours (approximately)
Flexible schedule
Learn at your own pace
Skills you'll gain
- Category: Deep Learning
- Category: Artificial Neural Network
- Category: Backpropagation
- Category: Python Programming
- Category: Neural Network Architecture
Details to know
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Add to your LinkedIn profile
Quizzes and assessments
0 quizzes, 4 assessments
English
Subtitles: Chinese (Traditional), Arabic,
Course
Gain insight into a topic and learn the fundamentals
4.9
(117,857 reviews)
Intermediate level
Recommended experience
24 hours (approximately)
Flexible schedule
Learn at your own pace
Build your subject-matter expertise
This course is part of the Deep Learning Specialization
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
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 videos1 reading
Set up a machine learning problem with a neural network mindset and use vectorization to speed up your models.
What's included
19 videos5 readings
Build a neural network with one hidden layer, using forward propagation and backpropagation.
What's included
12 videos
Analyze the key computations underlying deep learning, then use them to build and train deep neural networks for computer vision tasks.
What's included
8 videos5 readings
Instructors
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4.9 (21,803 ratings)Offered by
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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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.
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. If you only want to read and view the course content, you can audit the course for free.
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