Batch normalization is proposed in paper Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. In this tutorial, we will explain it for machine learning beginners.
TensorFlow tf.cumsum() allows us to compute the cumulative sum of the tensor x along axis. In this tutorial, we will use some examples to show you how to use it.
In this tutorial, we will intorduce you two questions: How to compute the mean and variance of population sample by training batch sample? How to normalize the test batch sample by the mean and variance of population sample?
In order to get the part-of-speech of a word in a sentence, we can use ntlk pos_tag() function. In this tutorial, we will introduce you how to use it.
When we are processing text, we often need to split text content to sentences, then split sentence to words. In this tutorial, we will tell you how to do using python nltk.
You may find some “@example.com” email addresses in some source codes or documents. What it is? In this tutorial, we will introduce it for programming beginners.
Making search engine display the table of contents of article can help us to increase the traffic. In this tutorial, we will introduce you how to do.
Sometimes, we need shuffle a python dictionary. In this tutorial, we will introduce you how to do.
Highway LSTM is a variants of LSTM, it adds highway networks inside an LSTM. In this tutorial, we will introduce it for LSTM beginners.
Highway Networks is proposed in paper: Highway Networks. It is proposed based on LSTM. In this tutorial, we will introduce it for machine learning beginners.
