In deep learning, we usually place a dropout layer after a dense layer. However, here is a problem? Dropout layer is placed before or after activation function.
Convolution subsampling module is an important part for processing inputs in conformer. In this tutorial, we will introduce how to implement it using tensorflow.
Sinusoidal position encoding or postion embedding is used in transformer. In this tutorial, we will introduce you how to implement it using tensorflow.
Dropout and batch normalization are two well-recognized approaches to tackle overfitting in multilayered neural networks, which one is better? In this tutorial, we will discuss this topic.