Nº 211: Redes Neuronales 20 - Optimización 02
Donations: https://www.paypal.me/jliglesiasferia This video explains how to apply Frobenius regularization, an adaptation of L2 regularization used in logistic regression. It explains what the norm of a vector is and how to calculate it. It also explains another regularization technique called Dropout. Finally, it introduces basic techniques for increasing the number of examples and data in a relatively simple way. PDF with the Presentation Slides: https://www.dropbox.com/s/riwymbtbu0d... Recommended Books: • "AI: A Modern Approach" https://amzn.to/2VCZn20 • "AI: Fundamentals, Practice, and Applications" https://amzn.to/2OGhum3 • "Advanced AI" https://amzn.to/3133xkI • "Probability and Statistics" https://amzn.to/2VzeDwL • "Machine Learning" https://amzn.to/2ILC1ll • "Logic for Beginners" https://amzn.to/35sfJin CC-BY-NC License Creative Commons Attribution-NonCommercial

No. 212: Neural Networks 21 - Optimization 03

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