In this tutorial, we introduce how to install and test nltk on ubuntu system, we can use pip command to install, you can start to use it to process nlp right now.
In this tutorial, we write an example to discuss why numpy.var() can be inaccurate when computing matrix variance in numpy, you can learn how to compute matrix variance correctly by our this tutorial.
In this tutorial, we introduce how to calculate the average, variance and standard deviation of a matrix in numpy, they are common used in many applications, you can learn how to do by referring our tutorial.
In this tutorial, we write an example to show how to calculate dot product of two vectors in numpy, we should use np.dot() function and can not use * operation. You can learn how to do by following our tutorial.
In this tutorial, we introduce how to flatten a matrix in numpy, we use two methods: ndarray.flatten() and numpy.reshape() function, you can learn how to do by following our tutorial.
In this tutorial, we list some tips on lstm kernel, which will help you to understand and use lstm in you tensorflow application, you can get more useful information by referring our tutorial.
In this tutorial, we discuss the weights in lstm cell and how to get it. The shape of kernel is very important, which can help us to understand lstm, you can follow our tutorial to more detail.
In this tutorial, we introduce how to check a string contains a substring or not, the main way is to use for in operation in python, this function is widely used, you can learn how to do by referring our example.
In this tutorial, we introduce how to use tf.reduce_mean() function in tensorflow correctly, the key is to set correct axis. You can learn how to use this function in you applications by following our tutorial.