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– Week 1 – Lecture
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Classroom Contents
History, Motivation, and Evolution of Deep Learning
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- 1 – Week 1 – Lecture
- 2 – Inspiration of Deep Learning and Its History, Supervised Learning
- 3 – History of Pattern Recognition and Introduction to Gradient Descent
- 4 – Computing Gradients by Backpropagation, Hierarchical Representation of the Visual Cortex
- 5 – Evolution of CNNs
- 6 – Deep Learning & Feature Extraction
- 7 – Learning Representations