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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Intermediate level
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Flexible schedule
Approx. 24 hours
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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
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4.9 (23,214 ratings)Offered by
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ZR
5
Reviewed on Jan 4, 2020
At first, I want to thank the course teacher and all the others for providing us such a wonderful course. The way the professor teaches is really very very helpful. Thank you all again and keep it up.
JN
4
Reviewed on Feb 20, 2018
I know this is intended for a broad audience, but I found that the assignments were too easy. Not that they are testing easy material, but that the answers are almost stated directly in the questions.
RG
5
Reviewed on Sep 7, 2020
I have learned a lot from this detailed and well-structured course. Programing assignments were very sophisticatedly designed. It was challenging, fun, and most importantly it delivered what is aimed.
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