In this tutorial, we will introduce how to implement GE2E loss function using tensorflow, which is very useful when you are building a voiceprint recognition model.

In this tutorial, we will introduce you how to change learning rate by global steps when training a tensorflow model.

CBHG is an important model in Tacotron, we will use tensorflow to implement it in this tutorial.

In tensorflow, we can use tf.layers.dropout() and tf.nn.dropout() to create a dropout layer. In this tutorial, we will introduce their difference.

Pre-net is an important part of Tacotron, in this tutorial, we will introduce you how to create it using tensorflow.

In this tutorial, we will use an example to show you how to implement highway networks in tensorflow.

In this tutorial, we will introduce you what is Convolution Bank (ConvBank) and how to implement it using tensorflow.

In this tutorial,we will use some examples to show you how to use tf.layers.max_pooling1d() function in tensorflow.

FAR, FRR and EER are three common used metrics in face and voiceprint recognition. In this tutorial, we will introduce how to compute them using tensorflow.

In this tutorial, we will introduce how to apply gradient clipping in tensorflow. It is very useful to make your model stable.