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A Beginner's Guide to Deep Learning

Estimated completion time: 20h

Certificate Included

63 Lessons
20 Quizzes
13 Challenges
57 Playgrounds
214 Illustrations

Course Overview

This beginner level and highly comprehensive course is intended for learners who are familiar with Python programming. You will become familiar with the fundamental concepts and terminologies used in deep learning. In addition, this course will help you understand the importance of deep learning techniques. You will ex... See more

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

2. ✨Introduction to Deep Learning
3. ✨Simple Perceptron Models in NumPY
4. ✨Towards Deep Neural Networks in NumPY
5. 🖥️ Project: Build a Letter Classification Model
6. ✨Building Deep Learning Models with Keras
7. ✨Fine-tune Keras Model
8. 🖥️ Project: Build a Digit Recognition Model
9. ✨Conclusion

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