## ML | Training Image Classifier using Tensorflow Object Detection API

This article aims to learn how to build an object detector using Tensorflow’s object detection API. Requirement : Python Programming Basics of Machine Learning Basics… Read More »

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- Reverse Video in Matlab
- Data Mining | Set 2
- Plot a line along 2 points in MATLAB
- AI Model For Neurodegenerative Diseases
- ML | Training Image Classifier using Tensorflow Object Detection API
- Flip image across Secondary Diagonal in MATLAB
- How to use Vision API from Google Cloud

This article aims to learn how to build an object detector using Tensorflow’s object detection API. Requirement : Python Programming Basics of Machine Learning Basics… Read More »

Data Mining may be a term from applied science. Typically it’s additionally referred to as data discovery in databases (KDD). Data processing is concerning finding… Read More »

TensorFlow the massively popular open-source platform to develop and integrate large scale AI and Deep Learning Models has recently been updated to its newer form… Read More »

Colour segmentation or color filtering is widely used in OpenCV for identifying specific objects/regions having a specific color. The most widely used colour space is… Read More »

The Mean Squared Error (MSE) or Mean Squared Deviation (MSD) of an estimator measures the average of error squares i.e. the average squared difference between… Read More »

Data Integration is a data preprocessing technique that involves combining data from multiple heterogeneous data sources into a coherent data store and provide a unified… Read More »

Web Mining is the process of Data Mining techniques to automatically discover and extract information from Web documents and services. The main purpose of web… Read More »

Every new technology, together with cloud computing, has an entirely different security outlook reckoning on the precise user United Nations agency is accessing it. It… Read More »

r-Nearest neighbors is a modified version of the k-nearest neighbors. The issue with k-nearest neighbors is the choice of k. A smaller k, the classifier… Read More »

Speech recognition is the process of converting audio into text. This is commonly used in voice assistants like Alexa, Siri, etc. Python provides an API… Read More »

Soft Computing could be a computing model evolved to resolve the non-linear issues that involve unsure, imprecise and approximate solutions of a tangle. These sorts… Read More »

Normalization is used to scale the data of an attribute so that it falls in a smaller range, such as -1.0 to 1.0 or 0.0… Read More »

I. ABSTRACT Models of neural networks are receiving widespread attention as potential new architectures for computing systems. The models we consider here consist of highly… Read More »

Introduction : The conventional method of computing is the most popular method for solving the desired problem with the estimated time complexities. Algorithms of searching,… Read More »

Prerequisite: Data preprocessing Why Data Reduction ? Data reduction process reduces the size of data and makes it suitable and feasible for analysis. In the… Read More »