## Understand the Gradient of Cross Entropy Loss Function – Machine Learning Tutorial

Cross entropy loss function is widely used in classification problem in machine learning. In this tutorial, we will discuss the gradient of it.

## Understand tf.cond(): Run TensorFlow Function By True Condition – TensorFlow Tutorial

In this tutorial, we will introduce how to run tensorflow function by condition. It is very useful to build tensorflow model.

## Create a Random Float Number in TensorFlow – TensorFlow Tutorial

We may need to create a random float number in tensorflow. In this tutorial, we will introduce you how to create.

## Remove Input Textarea Border or Outline When Focused

When you click a html input or textarea, you may find there exists a border around them. In this tutorial, we will introduce you how to remove this border.

## Element-wise Addition Explained – A Beginner Guide – Machine Learning Tutorial

Element-wise addition is often used in machine learning, in this tutorial, we will introduce it for machine learning beginners.

## Recognize Chinese Simplified From Image Using pytesseract and Tesseract-OCR – Tesseract-OCR Tutorial

In this tutorial, we will introduce how to recognize chinese simplified text from an image using pytesseract and Tesseract-OCR. You can learn how to do by following our tutorial.Download chi_sim.traineddata

## Fix Python Tesseract Failed loading language ‘chi_sim’ Error – Python Tutorial

When you are using pytesseract to recognize chinese from an image, you may get an error: Failed loading language ‘chi_sim’. In this tutorial, we will introduce you how to fix.

## Fix TesseractError eng.traineddata Please make sure the TESSDATA_PREFIX environment variable – Python Tutorial

In this tutorial, we will introduce you how to fix TesseractError eng.traineddata Please make sure the TESSDATA_PREFIX environment variable in python.

## Implement Image Matching with Threshold in Python OpenCV – OpenCV Tutorial

When we are using opencv to match multiple objects from an image, we usually do not know how many objects in image. In order to detect correct object numbers, we can use a threshold when detecting. In this tutorial, we will introduce you how to do.

## Understand numpy.copy(): Return a New Array Copy – NumPy Tutorial

numpy.copy() function can return a new array copy of the given object. In this tutorial, we will use some examples to show you how to use it.