Neural Networks Dropout Tutorials and Examples for Beginners
Neural Networks Dropout is proposed by Nitish Srivastav in paper (https://arxiv.org/pdf/1207.0580.pdf), it can provent overfitting on train dataset and improve the performance of machine learning methods.
In this page, we write some tutorials and examples on how to use dropout layer in neural networks, you can use it to improve the performance of your model by following our tutorials and examples.
In this tutorial, we discuss the question: can apply a dropout layer to a softmax layer in neural networks, You can learn how to use dropout layer to void overfitting in deep learning correctly by following our tutorial.