Use Symbolic Constants is a way to improve the "source code readability". Just like the classic conversion between Celsius and Fahrenheit, the lower, upper, and step of the boundary value and the updated value are actually meaningful numbers, especially the temperature boundary value.
Read More »[C] Introduction of Symbolic Constants In the previous note, I recorded how to program conversion between Celsius and Fahrenheit ([C] Variables and Arithmetic Expressions). In the process, we continuously increase the Fahrenheit temperature through the while loop, and view the converted Celsius temperature result.
If you want the program to execute the same command over and over again, you can also use a for loop to do this.
The most important function of computer invented is to assist humans in computing. So, in this section, we use the conversion between Celsius (°C) and Fahrenheit (°F) to explain which is variable and which is an arithmetic expression.
Read More »[C] Variables and Arithmetic Expressions C Programming Language is one of the most common programming languages, and it can be seen in many Unix systems. Many systems and programs are also developed using C.
Therefore, the C language can be said to be a programming language with absolutely no harm when it is familiar to programmers.
Read More »[C] Use gcc command to compile and print "Hello World"
coding-interview-university is an open source project on Github, which contains study notes prepared by Amazon AWS engineer John Washam. As of April 2021, the projects has 165,000 stars.
Read More »coding-interview-university Study Notes Directory
Today we challenged the classifiers of different data sets again. This time, CIFAR-19 is a more difficult problem than MNIST handwriting recognition. In addition to the size of the picture becoming 32x32, CIFAR-10 is no longer a pure grayscale value, but a picture with the three primary colors of RGB.
Read More »[PyTorch] Tutorial(5) How to train a model to classify CIFAR-10 database "Use a toy dataset to train a classification model" is a simplest deep learning practice.
Today I want to record how to use MNIST A HANDWRITTEN DIGIT RECOGNITION dataset to build a simple classifier in PyTorch.
Read More »[PyTorch] Tutorial(4) Train a model to classify MNIST dataset
The so-called Neural Network is the model architecture we want to build for deep learning. In official PyTorch document, the first sentence clearly states:
You can use torch.nn to build a neural network.
I believe everyone who is familiar with deep learning knows the importance of automatic derivation. In here, I will make a simple record.
The neural network operation of the deep learning model includes forward propagation and backward propagation.
Read More »[PyTorch] Tutorial(2) Automatic derivative
Recently, when developing projects that I am interested in, there is a need to choose "colors". I wanted to build a simple color palette for the user to select the color, and then I was getting the color the user wanted.
Read More »[PyQt5] Tutorial(11) Use QColorDialog to let user select color
