Dropout Regularization | Deep Learning Tutorial 20 (Tensorflow2.0, Keras & Python)
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Dropout Regularization | Deep Learning Tutorial 20 (Tensorflow2.0, Keras & Python)
Overfitting and underfitting are common phenomena in the field of machine learning and the techniques used to tackle overfitting problem is called regularization. In deep learning, dropout regularization is used to randomly drop neurons from hidden layers and this helps with generalization. In this video, we will see a theory behind dropout ...
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