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CS 152 NN—6: Regularization—Data Augmentatipon
CS 152 NN—6: Regularization—Smaller batches
CS 152 NN—16: Multi task Learning
What is a Loss Function Understanding How AI Models Learn
CS 152 NN—2: Intro to ML— Data+Answers=Rules
CS 152—Lecture 02 (HMC Fall, 2018)
Deep Learning - Lecture 5.1 (Regularization: Parameter Penalties)
CS 152 NN—9: Neural Networks—Visualizing the network
Lecture 3 | Loss Functions and Optimization
Stanford CS229 Machine Learning I Bias - Variance, Regularization I 2022 I Lecture 10
CS 152 NN—5: Normalization
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Last Updated: August 15, 2026
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