Master
Training Deep Networksfirst principles.
DEEP LEARNING • FROM NEURONS TO TRANSFORMERS.
Chapter-by-chapter theory notes, step-by-step textbook exercises, video lectures, and SLO-aligned board examination prep for Training Deep Networks (Deep Learning).
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Textbook Chapters
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Lessons & Exercises
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Solved Derivations
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Neural Networks (18)Training Deep Networks (23)Computer Vision (15)Sequences & Transformers (19)Generative Deep Learning (14)Reinforcement & Frontier (12)
Video library
Video Lectures
Unit-by-unit video lessons and conceptual explanations.
0 of 23 lessons have a video attached
01Unstable Gradients
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Unstable Gradients
02Optimizers and Learning Rate Schedules
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Optimizers and Learning Rate Schedules
03Regularization for Deep Nets
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Regularization for Deep Nets
04Debugging and Diagnosing Training
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Debugging and Diagnosing Training
05Transfer Learning and Fine Tuning
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Transfer Learning and Fine Tuning
06Training at Scale
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Training at Scale
INTERACTIVE LAB • 18 STEM WORKSTATIONS
Bridge High-School Science to Computational AI
Connect textbook physics, mathematics, and computing to real-world artificial intelligence models and symbolic solvers.