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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Sponsored by Pontificia Universidad Católica del Perú
1,390,437 already enrolled
(122,402 reviews)
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Skills you'll gain
- Python Programming
- Machine Learning Methods
- Artificial Intelligence and Machine Learning (AI/ML)
- Computer Science
- Computer Programming
- Machine Learning
- Applied Machine Learning
- Artificial Intelligence
- Machine Learning Algorithms
- Supervised Learning
- Statistical Machine Learning
- Deep Learning
- Artificial Neural Networks
- NumPy
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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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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.
Reviewed on Feb 7, 2023
An amazing course and gives quite a detailed and beginner-friendly description of deep learning and neural networks. This course helped me immensely in overcoming my intimidation towards these topics.
Reviewed on Jan 17, 2020
Very structured approach to developing a neural network which I believe I can use as foundation for any project regardless its complexity. Thanks professor Andrew Ng and the team for their dedication.
Recommended if you're interested in Data Science
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