When we think about enrolling in Artificial Intelligence, Machine Learning, and Deep Learning, we need thousand’s of dollars; however, many online resources offer free resources where you can enroll and learn at your own speed.
How to enroll?
- Go to the Github repository and click this link
- Direct Link – Pytorch Deep Learning
Prerequisites:
Good to have Intro to Data Science (It would be good to have a clear basic understanding; otherwise, you can go ahead with the curriculum).
Lectures week by week:
| Week | Format | Title |
|---|---|---|
| 1 | Lecture | History and motivation |
| 1 | Lecture | Evolution and DL |
| 1 | Practicum | Neural nets (NN) |
| 2 | Lecture | SGD and backprop |
| 2 | Lecture | Backprop in practice |
| 2 | Practicum | NN training |
| 3 | Lecture | Parameter transformation |
| 3 | Lecture | CNN |
| 3 | Practicum | Natural signals’ properties |
| 4 | Practicum | 1D convolutions |
Further Reading
Posts on Artificial Intelligence, Deep Learning, Machine Learning, and Design Thinking articles:
Artificial Intelligence Chatbot Using Neural Network and Natural Language Processing
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