Identifying images of handwritten digits using deep learning in H2O

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Sadhasivam, Jayakumar^1 ; Charanya, R.^1 ; Harish Kumar, S.^1 ; Srinivasan, A.^1

School of Information Technology and Engineering, VIT University, Vellore

Tamil Nadu

632014, India^1

关键词: Digit recognition;    Handwritten digit;    Image data;    Learning techniques;    Learning Vector Quantization;    Machine learning methods;    Neural systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/4/042033/pdf
DOI  :  10.1088/1757-899X/263/4/042033

来源: IOP

【 摘 要 】

Automatic digit recognition is of popular interest today. Deep learning techniques make it possible for object recognition in image data. Perceiving the digit has turned into a fundamental part as far as certifiable applications. Since, digits are composed in various styles in this way to distinguish the digit it is important to perceive and arrange it with the assistance of machine learning methods. This exploration depends on supervised learning vector quantization neural system arranged under counterfeit artificial neural network. The pictures of digits are perceived, prepared and tried. After the system is made digits are prepared utilizing preparing dataset vectors and testing is connected to the pictures of digits which are separated to each other by fragmenting the picture and resizing the digit picture as needs be for better precision.