In this tutorial, we introduce a powerful snipping tool, SniPaste, to capture a screenshot. This best feature of this tool is that it can allow us to zoom in and zoom out our screenshot.

In this tutorial, we introduce the structure, A, B, C matrix in End-To-End Memory Networks. You can learn and understand the functionality of each matrix in this network.

In this tutorial, we explain why we use cross entropy as loss function in deep learning and why we use H(y, ypred) but H(ypred,y). You can follow our tutorial to learn.

tf.clip_by_value() can clip a tenser values to min and max number in tensorflow. In this tutorial, we write an example to introduce how to use this function, you can follow our example to learn it.

In this tutorial, we write an example to introduce that we may get nan or inf value when computing kl divergence value in tensorflow. To fix this problem, you can follow our tutorial and learn how to process.

KL Divergence has two equations: Forward and Reverse. Which shoud be selected in our application? In this tutorial, we discuss the difference between them, you can lean and understand how to select them by following our tutorial.

Entropy, Cross Entropy and KL Divergence are common used algorithms in deep learning. What is relation among them? In this tutorial, we will discuss the relation of them to help you to understand easily.