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A Beginner's Guide to Deep Learning
Estimated completion time: 20h
Certificate Included
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
1. ✨Before We Begin
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
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
1. ✨Before We Begin
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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