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
This course is part of Deep Learning Specialization



Instructors: Andrew Ng
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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.
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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.
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19 videos5 readings1 assignment2 programming assignments
Build a neural network with one hidden layer, using forward propagation and backpropagation.
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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.
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8 videos7 readings1 assignment2 programming assignments
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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.
Reviewed on Jan 24, 2021
Lot of courses teach theory and uses python in built libraries. This is the only course learners are encourage to built the algorithm from scratch to gain more understanding of things under the hood.
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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