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Forming Vision: How a Conv Neural Network Learns

Forming Vision: How a Conv Neural Network Learns

Implementing Neural Networks from ScratchIn this post, we’ll understand how neural networks work while implementing one from scratch in Python.Aspires - Ex10si0nEx10si0n In the previous post, we introduced how a Neural Network learns in aspect of mathematical simulation of neurons. In this post, we will introduce the advanced

Code Analysis of Cycle-GAN

Code Analysis of Cycle-GAN

This is a code analysis of Cycle-GAN. The original code is here which is the implementation of the paper Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.

Understanding Naïve Bayes Algorithm

Understanding Naïve Bayes Algorithm

Naïve Bayes is a classical machine learning algorithm. By reading this post, you will understand this algorithm and implement a Naïve Bayes classifier for classifying the target customer of an ad. by the features of the customer.

A Brief Explanation on Adversarial Attack

A Brief Explanation on Adversarial Attack

The core implementation of the neural network is feedforward and backpropagation. Feedforward passes a series of inputs enter the layer, and these inputs are multiplied by the weights. Each value is then added together to get a sum of the weighted input values. It often works with activation functions to

Implementing JPEG Image Compression Algorithm using MATLAB

Algorithms Featured

Implementing JPEG Image Compression Algorithm using MATLAB

In this tutorial, we will implement a image compression algorithm using MATLAB. JPEG stands for Joint Photographic Experts Group, which was a group of image processing experts that devised a standard for compressing images (ISO).

RSA Digital Signatures and Public-Key Cryptosystems

RSA Digital Signatures and Public-Key Cryptosystems

This post is a paper review on the RSA algorithm proposed by R.L. Rivest, A.Shamir, and L.Adleman. Their proposed algorithm has a wide application in public-key cryptography in network security of maintaining secure data communication.

Vue.js 3 Feature: setup script

Vue.js 3 Feature: setup script

Setup script is a compile-time syntactic sugar for using Composition API inside SFCs. It is the recommended syntax if you are using both SFCs and Composition API. It provides a number of advantages over the normal script syntax. And it have a good support on TypeScript.

Web Frameworks, JAMStacks and Native Apps

Web Frameworks, JAMStacks and Native Apps

Overview The profession of software development needs a strong self-learning ability, which is one of the most vital abilities for students as well. Having done some searching on the Internet, I am confident to say that the availability of pieces of knowledge online, especially technologies in computer theory and programming

Some Stories

Olympiad of Informatics I wrote my first code on paper during high school where electronics were not allowed. A pencil case which contained a Raspberry PI and a mini monitor is my computer. Using a keyboard and touchpad with Bluetooth functionality, I typed the code I'd written on paper into

Terms Explanations in Deep Learning

Terms Explanations in Deep Learning

Binary Classification A classification method that yields a model $\hat{y} = wx+b$ for a specific x input and gets the corresponding predicted y (so called $\hat{y}$ ). Logistic Regression Transpose prediction $\hat{y}$ to a logical and explainable value to a Binary classification model. Transpose function like Sigmoid function:

Introducing Quick-Starts for Front-end Development

Introducing Quick-Starts for Front-end Development

GitHub - Ex10si0n/quick-starts: Quick starts for creating projects fasterQuick starts for creating projects faster. Contribute to Ex10si0n/quick-starts development by creating an account on GitHub.GitHubEx10si0n Ex10si0n/quick-starts is a boilerplate quick start template for front-end development based on Vue.js and its related ecosystems. You can build your

Aho–Corasick Automaton

Aho–Corasick Automaton

This Algorithm is for matching a series of strings (i.e. ["app", "apple", "sem", ...]) in a document at the same time. It is as famous as the KMP Algorithm and the philosophy of these two Algorithms are similar. Aho-Corasick Automaton is an exquisite Algorithm and worth learning.

How to setup a Reverse Proxy using FRP

How to setup a Reverse Proxy using FRP

It enable you access your computer (needn't have public IP) anywhere with Internet connection.

Implementing Neural Networks from Scratch

Implementing Neural Networks from Scratch

In this post, we’ll understand how neural networks work while implementing one from scratch in Python.

Linux and Python AI Toolkits

Linux and Python AI Toolkits

This lecture contains two parts, namely Python fundamental and Machine Learning. Moreover, all of the process will be running on the Linux machine, which means that it will contain the part of knowledge in Linux shell. The content is structured, detailed in several chapters. Everyone is welcome to have a

Apple Silicon install Metal API supported Tensorflow

Apple Silicon install Metal API supported Tensorflow

Here is a direction on adopting accelerate training of machine learning models with TensorFlow on the Mac, by the installation of TensorFlow and the tensorflow-metal PluggableDevice to accelerate training with Metal on M1 Mac GPUs.

Algorithms Series

Algorithms Featured

Algorithms Series

Algorithms Series is a brief tutorial on Algorithms implementation which mostly focuses on coding. This tutorial has been lectured electively in Macao Polytechnic Institute and has fine feedback. The content is structured, detailed in several chapters. Everyone is welcome to have a quick review of the tutorial. Here is the

Kaggle Titanic: Survive prediction

Kaggle Titanic: Survive prediction

This post is a recording of learning ML with Kaggle, For the competition, link click here. This is a 73.68% accurate model with Random Forest Classifier. Intro Let take a glance at the notebook, here we go! We need the following packages. import warnings warnings.filterwarnings('ignore') import numpy

Algorithms Analysing of Eight Queens Problem

Algorithms Analysing of Eight Queens Problem

Problem Intro The eight queens problem is based on Chess, it's for determining how to place 8 queens on a chessboard of size 8 × 8, and make sure any of the queens cannot capture the other 7 queens. To get this approach, any of two queens cannot be at the

Arduino with Python - Morse Code Blinking LED

Arduino with Python - Morse Code Blinking LED

pyfirmata is a package that can make a connection between Arduino and Python, this post is a brief tutorial on using pyfirmata and create an interesting small project. Installing and Loading Firmata Install Script pip install pyfirmata Before we can code with Python, we need to load a format framework

Three Examples in solving Synchronization

Note: This post is summary of learning Operation System Internals and Design Principles (Ninth Edition) Chapter 5 As we know the Peterson Algorithms that allows two or more (actually it can) processes to share a single-use resource without conflict by using the busy waiting method to solve Mutual Exclusion Problems.

Implementing Convolutional Neural Networks with Keras

Implementing Convolutional Neural Networks with Keras

Introduction Keras is a Deep Learning library for Python, after learning Intro to Neural Networks and Intro to Convolutional Neural Networks from Victor Zhou, These two posts produce implementations of Neural Networks and CNN from scratch (using only NumPy), To refresh the knowledge while reviewing it, I decided to write

Implementing Peterson Algorithm with Python

Peterson's algorithm is a concurrent programming algorithm for mutual exclusion that allows two or more processes to share a single-use resource without conflict. Implementing Peterson algorithm is straightforward, here is the pseudocode in C style. /* Globally Init */ int flag[2] = {false, false}; int turn = 0; void enter_region (int process)