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Machine learning for kids

machine learning for kids

Machine learning for kid:  I’d like to introduce machine learning for kids a free tool to help school children learn about artificial intelligence and machine learning by letting them make things with it. I’m going to share some projects that I’ve seen school classes make with the tool and I’m going to talk a bit about what I saw them learned from…

WNet segmentation for unsupervised Images

WNET segmentation

WNet  WNet  segmentation  This is a tensorflow implementation of WNet  segmentation for unsupervised image segmentation. The architecture in WNet segmentation for unsupervised image classification  based on  shape that can be rebuilt Original input images and predictions of the segmentation Maps without labeling information. W-Net architecture consists of an UEnc on the left and a corresponding UDec on the right. It contains 46 Convolutional layers are organized into 18…

An Introduction to Graph Neural Networks (Basics and DeepWalks)

graph neural network

Graph Neural Network (GNN), has been gaining popularity in a variety of domains such as social network, knowledge graphs, recommender systems, and even life sciences. GNN’s ability to model dependencies between nodes within a graph has enabled breakthroughs in graph analysis research. This article will introduce the basics and two more advanced algorithms, DeepWalk (GraphSage), to Graph Neural Network. Graph: Before we dive into…

Machine learning icons

Icons have very valuable important for any specific identification. Machine learning icons is small .png , .jpg, .gif tiny image which is used to represent machine learning tools. If any one wants to  post tutorial or published book related to machine learning ,they must used icons. In this world every things has its own importance. Like  small tiny house is used for…

Multiclass Classification using Deep Learning

multiclass

Multiclass classification is a technique in machine learning classification tasks that consists of more than two classes. In multiclass classification processes, the assigning of outcome or output is based on the class with the highest probability. This article is for image processing and computer vision lover. If any one wants to learn how AI works and used machine learning ,deeplearning to handle …

Mito Sheet Complete Guidance

Mitosheet

Mito Sheet : Python is an amazing programming language for data science , machine learning and deeplearning engineer , AI researcher and also it cover all other domain.  Mito sheet is a useful tool for those who are working with  excel or csv file data , especially datascientiest or help in spread sheet functionality in python. There are many things which can…

Semantic Segmentation with UNET

1. Introduction: Computer vision is an interdisciplinary scientific field that involves how to enable computers to obtain high-level understanding from digital images or videos. From an engineering perspective, it seeks to automate tasks that the human visual system can perform. Deep learning has allowed rapid development in the field of computer vision in recent years. In this article, I want to discuss…

Simple CNN basic Model from Scratch

CNN basic

Convolutional Neural Network:    CNN We will first build a CNN basic Model from Scratch  with three convolutional layers, and max pooling to automatically extract features from our images and reduce the resolution of the output convolutional feature map. We assume that you know enough about CNN, so we will not cover theoretical details. Feel free to check out my book or any…