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
3 weeks at 10 hours a week
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Skills you'll gain
- Applied Machine Learning
- Convolutional Neural Networks
- Supervised Learning
- Calculus
- Deep Learning
- Linear Algebra
- Artificial Neural Networks
- Recurrent Neural Networks (RNNs)
- Python Programming
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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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- Gain a foundational understanding of a subject or tool
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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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Showing 3 of 123657
NL
Reviewed on Oct 3, 2020
This course helps me to understand the basic concept of Deep Learning. However I think this course should include at least 1 week (or 2-3 videos) about math so learners can have a better understanding
VB
Reviewed on Aug 23, 2021
This is a very good course for people who want to get started with neural networks. Andrew did a great job explaining the math behind the scenes. Assignments are well-designed too. Highly recommended.
MH
Reviewed on Jun 29, 2018
Very good course to start Deep learning. But you need to have the basic idea first. I would suggest to do the Stanford Andrew Ng Machine Learning course first and then take this specialization courses
