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 Jun 17, 2023
I am a student majoring in AI and ML. This course helped me to solidify my understanding of how NNs work. The course content was in-depth and comprehensive and the quiz and assignments were fun to do.
Reviewed on Jun 10, 2020
An excellent introduction to Neural Network and Deep Learning. In particular, I found the insights and analogies shared during the course very useful. Can't wait to complete the next 4 in the series!
Reviewed on Apr 30, 2020
I was actually a kind of half cooked in neural network. Thanks to Dr.Adnrew for his wonderful explanation, I am directly going to register for convolution neural network as I gained enough confidence
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