Deep Learning Course
Lecture 01: Introduction to Neural Networks
Section 1: Function Approximators
Section 2: Basics of Feed Forward Neural Networks
Lecture 02: Training Neural Networks
Lecture 03: Architecture
Lecture 04: Tuning
Lecture 05: CNN
Lecture 06: NLP and Representation Learning
Lecture 07: Recurrent Neural Networks
Lecture 08: Attention and Transformers
Lecture 09: Large Language Models
Lecture 10: Marketing I
Lecture 11: Marketing II
Lecture 12: Recommendations
Lecture 13: Analytics
Lecture 14: ML Use-Cases
Lecture 02: Training Neural Networks
Lecture 02 · 31 slides