Intro to AI: Hands-On Exploration with Neural Networks, GANs, CNNs, and More
SAT Score Range
•
5 sessions
•
pp
JS
sh
+2
This series was cancelled by the tutor on December 22, 2024. We're very sorry–you can explore more Computer Science series here. All 1:1 and group chats related to this series are disabled 7 days after the last session.
About
This course is beginner friendly
Week 1: Intro to Neural Networks
Week 2: Training Neural Networks
Week 3: Intro to GANs
Week 4: Creating with GANs
Week 5: Intro to CNNs
Week 6: CNN Applications
Week 7: Intro to RNNs & Transformers
Week 8: Applications of RNNs & Transformers
Week 9: Final Project
Schedule
✋ ATTENDANCE POLICY
You will be withdrawn from the series if you have more than 2 unexcused absences in a row. Please message the tutor in advance for any absences!
SESSION 1
10
Nov
SESSION 1
Artificial Intelligence
Artificial Intelligence
Sun 6:00 PM - 7:00 PM UTCNov 10, 6:00 PM - 7:00 PM UTC
Week 1: Intro to Neural Networks
Overview of basic concepts (perceptrons, layers)
Activity: Build a simple neural network.
SESSION 2
17
Nov
SESSION 2
Artificial Intelligence
Artificial Intelligence
Sun 8:00 PM - 9:00 PM UTCNov 17, 8:00 PM - 9:00 PM UTC
Week 2: Training Neural Networks
Focus on training basics (backpropagation, gradient descent)
Activity: Adjust model parameters to observe learning.
SESSION 3
24
Nov
SESSION 3
Artificial Intelligence
Artificial Intelligence
Sun 6:00 PM - 7:00 PM UTCNov 24, 6:00 PM - 7:00 PM UTC
Week 3: Intro to GANs
Learn GAN basics (generators and discriminators)
Activity: Experiment with a pre-built GAN model.
SESSION 4
1
Dec
SESSION 4
Artificial Intelligence
Artificial Intelligence
Sun 6:00 PM - 7:00 PM UTCDec 1, 6:00 PM - 7:00 PM UTC
Week 4: Creating with GANs
Explore GAN applications and ethics
Activity: Generate custom images; discuss ethical considerations.
SESSION 5
15
Dec
SESSION 5
Artificial Intelligence
Artificial Intelligence
Sun 6:00 PM - 7:00 PM UTCDec 15, 6:00 PM - 7:00 PM UTC
Week 6: CNN Applications
Explore CNN applications in real-world tasks
Activity: Classify images; discuss use cases.