Andere Kunden interessierten sich auch für
![DIAGONOSIS OF HEART-ABNORMALITIES DETECTION USING MACHINE LEARNING]( "DIAGONOSIS OF HEART-ABNORMALITIES DETECTION USING MACHINE LEARNING")
DIAGONOSIS OF HEART-ABNORMALITIES DETECTION USING MACHINE LEARNING26,99 €![ATM CARD Fraud Detection Using Machine Learning]( "ATM CARD Fraud Detection Using Machine Learning")
ATM CARD Fraud Detection Using Machine Learning26,99 €![Risk analysis of various phases of software development life cycle]( "Risk analysis of various phases of software development life cycle")
Risk analysis of various phases of software development life cycle32,99 €![Forgery Image Detection Using Machine Learning Algorithms]( "Forgery Image Detection Using Machine Learning Algorithms")
Forgery Image Detection Using Machine Learning Algorithms39,99 €![Prediction of Diabetes Mellitus Using Machine Learning Techniques]( "Prediction of Diabetes Mellitus Using Machine Learning Techniques")
Prediction of Diabetes Mellitus Using Machine Learning Techniques29,99 €![Deep Learning and Object Detection Practices in Agriculture]( "Deep Learning and Object Detection Practices in Agriculture")
Deep Learning and Object Detection Practices in Agriculture29,99 €![Pathological Brain Detection by Advanced Extreme Learning Machines]( "Pathological Brain Detection by Advanced Extreme Learning Machines")
Pathological Brain Detection by Advanced Extreme Learning Machines19,99 €
The latest deep learning neural network frameworks in order to reduce the human effort and cost. We tested the ability of the neural networks to classify images with high accuracies. The results highlight the importance of the deep learning neural network technology in image classification. Hence, these network frameworks can be used to reduce human effort and cost and extract wildlife information to conserve and maintain the wildlife system.