After the class prediction, the image goes throughlinear regressionto find the exact tensor (container of numeric data returned by the regressor of the object). Regression is performed using open-source platforms such asDarknet,TensorFlow, orPyTorch. The final output of the object recognition algori...
Improves Scikit-learn compatible API for AdaBoost classifier, Decision Tree classifier, and Gradient Boosted Trees classifier and regressor. Improves performance of the following Intel Scikit-learn algorithms and functions: fit and prediction in K-Means and Support Vector Classification (SVC), fit ...
Improves Scikit-learn compatible API for AdaBoost classifier, Decision Tree classifier, and Gradient Boosted Trees classifier and regressor. Improves performance of the following Intel Scikit-learn algorithms and functions: fit and prediction in K-Means and Support Vector Classification (SVC), fit in ...
After the class prediction, the image goes through linear regression to find the exact tensor (container of numeric data returned by the regressor of the object). Regression is performed using open-source platforms such as Darknet, TensorFlow, or PyTorch. The final output of the object recognitio...
Improves Scikit-learn compatible API for AdaBoost classifier, Decision Tree classifier, and Gradient Boosted Trees classifier and regressor. Improves performance of the following Intel Scikit-learn algorithms and functions: fit and prediction in K-Means and Support Vector Classification (SVC), fit in ...