Gratefulness and Joy

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Machine Learning and Deep Learning 49

[Deep Learning] Week 7-2 Batch Normalization for Neural Network

Machine Learning and Deep Learning 2021.04.15

[Deep Learning] Week7-1 Hyperparameters Tuning

Machine Learning and Deep Learning 2021.04.14

[Deep Learning] Week 6-3. Learning Rate Decay and Local Optima

Machine Learning and Deep Learning 2021.04.13

[Deep Learning] week 6-2 Exponentially Weighted (moving) Average

Machine Learning and Deep Learning 2021.03.29

[Deep Learning] week 6-1 Mini Batch for Large Data Set and How to Choose m

Machine Learning and Deep Learning 2021.03.28

[Deep Learning] week 5-5 Gradient Checking and Practical Tips

Machine Learning and Deep Learning 2021.03.19

[Deep Learning] week5-4 Normalization and Weight Initialization for Deep Neural Network

Machine Learning and Deep Learning 2021.03.18

[Deep Learning 5-3] 다양한 Regularization 기법들 (Dropout, L2, Augmentation, Early Stopping)

Machine Learning and Deep Learning 2021.03.17

[Deep Learning 5-2] Regularizations on Logistic Regression and Neural Network

Machine Learning and Deep Learning 2021.03.15

[Deep Learning] 5-1. Bias vs Variance

Machine Learning and Deep Learning 2021.03.11
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Gratefulness and Joy

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