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Welcome!

Lectures

Lecture 1 - Foundational Concept of Deep Learning
Lecture 2 - Understanding Deep Learning
Lecture 3 - PyTorch Tensor Objects Attributes and Methods
Lecture 4 - Main Types of Deep Learning Neural Networks
Lecture 5 - Applications of Deep Learning
Lecture 6 - Training CNN Model using MNIST Dataset

Exercises

Reaction Paper: “Machine Learning: Living in the Age of AI | A WIRED Film”

Labs

Laboratory Activty 1
Laboratory Activty 2
Laboratory Activity 3
Laboratory Activity 4
Laboratory Task 5
Laboratory Task 6
Lab Activity 201: Exploring Hyperparameters (Activation Functions and Optimizers)

Group Projects

Group Activities
Applying Temporal Fusion Transformers for Air Quality Forecasting in Metro Manila

Deep Learning Blog Post

Adam Unchained: Breaking Free from Default Parameters

Final Project/Exam

Automated ASL Fingerspelling Recognition for Educational Platforms Using YOLOv8 Frame Classification and Letter Sequence Reconstruction

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By Dane Casey C Casino

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