This course provides an introduction to Deep Learning, a field that aims to harness the enormous amounts of data that we are surrounded by with artificial neural networks, allowing for the development of self-driving cars, speech interfaces, genomic sequence analysis and algorithmic trading.
An Introduction to Practical Deep Learning
An Introduction to Practical Deep Learning
Instructors: Andres Rodriguez
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23,073 already enrolled
Gain insight into a topic and learn the fundamentals.
150 reviews
Intermediate level
Some related experience required
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Performance Tuning
- Computer Vision
- Deep Learning
- Reinforcement Learning
- Scalability
- Machine Learning Methods
- Natural Language Processing
- Transfer Learning
- Generative Adversarial Networks (GANs)
- Recurrent Neural Networks (RNNs)
- Artificial Neural Networks
- Convolutional Neural Networks
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Assessments
5 assignments
Taught in English
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There are 6 modules in this course
What's included
4 videos3 readings1 assignment4 ungraded labs
What's included
4 videos2 readings1 assignment3 ungraded labs
What's included
2 videos1 reading1 assignment2 ungraded labs
What's included
3 videos2 readings1 assignment1 ungraded lab
What's included
3 videos2 readings1 ungraded lab
What's included
1 assignment
Instructors
Instructor ratings
(24 ratings)Offered by
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Showing 3 of 150
AB
Reviewed on Oct 10, 2019
I thank Coursera and the instructors for guiding through the basics of Deep Learning. The explanations were easy to understand, and would recommend this course to enthusiasts.
MS
Reviewed on Feb 21, 2019
well it has been a good course for me to get an overall view on Deep learning , but there was so much information in every video that was hard to grasp from the first time
AP
Reviewed on Jul 11, 2020
It is a challenge for me to devote time and attend the course in spite of the administrative works. I had a different experience in learning. All the lectures were well presented and with quality.
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