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Introduction to Deep Learning & Neural Networks

1 Assessment
52 Lessons
8 Quizzes
11 Challenges
24 Playgrounds
89 Illustrations

Takeaway Skills

Understanding of the most popular Deep Learning models

A solid grasp on the mathematics and the intuition behind the algorithms

A good experience with Deep Learning Programming and Pytorch

Understanding of the most popular Deep Learning models

A solid grasp on the mathematics and the intuition behind the algorithms

A good experience with Deep Learning Programming and Pytorch

Course Overview

This course is an accumulation of well-grounded knowledge and experience in deep learning. It provides you with the basic concepts you need in order to start working with and training various machine learning models. You will cover both basic and intermediate concepts including but n...

How You'll Learn

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built-in assessments let you test your skills. Completion certificates let you show them off.

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built-in assessments let you test your skills. Completion certificates let you show them off.

Course Contents

1. Learn Deep Learning
2. Neural Networks
3. Training Neural Networks
4. Convolutional Neural Networks
5. Recurrent Neural Networks
6. Autoencoders
7. Generative Adversarial Networks
8. Attention and Transformers
9. Graph Neural Networks
10. Conclusion

Course Assessment

Final Quiz
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