Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python)
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Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python)
When we don't have enough training samples to cover diverse cases in image classification, often CNN might overfit. To address this we use a technique called data augmentation in deep learning. Data augmentation is used to generate new training samples from current training set using various transformations such as scaling, rotation, contrast ...
165.2K viewsNov 1, 2020
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