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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Gain insight into a topic and learn the fundamentals.
4.9
(122,502 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 24 hours
Learn at your own pace
96%
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Assessments
4 assignments
Taught in English
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This course is part of the Deep Learning Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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 videos3 readings1 assignment1 app item
Set up a machine learning problem with a neural network mindset and use vectorization to speed up your models.
What's included
19 videos5 readings1 assignment2 programming assignments
Build a neural network with one hidden layer, using forward propagation and backpropagation.
What's included
12 videos1 reading1 assignment1 programming assignment
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 videos7 readings1 assignment2 programming assignments
Instructors
Instructor ratings
4.9 (23,119 ratings)Offered by
Recommended if you're interested in Machine Learning
Imperial College London
Sungkyunkwan University
Amazon Web Services
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4.9
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Showing 3 of 122502
PB
4
Reviewed on Aug 20, 2022
Although problems sets are too easy and over simplified, the course has good content, I learned a lot and I have a better intuition now on how NNs work.
KT
5
Reviewed on Apr 4, 2020
I gained a foot hold of Neural networks now. I believe that further taking the specialization could strengthen it. Thanks a lot for a great teaching experience. I was able to finish it in 10 days.
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.
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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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