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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
Repository
Open issue
Index
