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How to make custom Test TFRecords Dataset (Cats & Dogs) Binary -> Notebook2
Binary Classification using quick_ml -> Notebook3
Multi-class Classification using quick_ml -> Notebook4
Model Training w/ Callbacks -> Notebook5
Obtaining Predictions on a Binary TFRecords Dataset -> Notebook6
Model Ensembling (Average & Weighted) Binary Classification Dataset -> Notebook7
Model Training w/ Data Augmentation -> Notebook8
Data Augmentation w/ Training Report -> Notebook9
K-Fold Model Training -> Notebook10
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