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A beginner's guide to the fundamentals of deep learning

This course consists of:

14 Tutorials

Tutorials have been chosen to maximize learning curve, i.e. learn the most in the shortest amount of time. Tutorials cover introductory topics for deep learning!

Expected time to completion: 2-3 weeks (10-15 sessions)

Pre-requisites: Calculus (specifically, differentiation)

Pro-tip: If you want to skip sections or tutorials, mark them as completed.

Syllabus

Machine Learning basics: what it is, gradient descend

A Visual Introduction (and Review) of Machine Learning
4 mins
What is Machine Learning? Why Machine Learning?
9 mins
Perceptron algorithm
4 mins
Tutorial: Linearly separable data
2 mins
Quiz: Perceptron algorithm
7 mins

Deep Learning basics: what it is, neural networks, computational graphs, back-propagation

Deep Learning in a Nutshell
32 mins
A Neural Network Playground
2 mins
Gradient Descent intuition
2 mins
Calculus on Computational Graphs: Backpropagation -- colah's blog
2 mins
Andrej Karpathy: Yes you should understand backprop
2 mins

Convolutional Neural Networks: the most successful architecture for computer vision

Recurrent Neural Networks: the most successful architecture for natural language processing, and other domains with sequential input

A Deep Dive into Recurrent Neural Nets
21 mins
Understanding LSTM Networks -- colah's blog
2 mins

Start this course

A Visual Introduction (and Review) of Machine Learning

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Frequently Asked Questions

What does it cost?

Every tutorial on Commonlounge is available for free, and will always be. We only ask you to come back and contribute and make Commonlounge better for everyone once you are an expert. We offer premium content like quizzes, hands-on projects and certificate of completion as part of our Pro Plan. We also offer one-on-one mentorship and feedback on real-world projects from industry-experts as part of our Plus Plan.

When can I start?

Right now. Enroll in this course and follow it at your own pace. You can also set a reminder above to send the next item to your inbox every week.