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Machine learning for OpenCV 4 : intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn /: intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn. (2019)
Record Type:
Book
Title:
Machine learning for OpenCV 4 : intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn /: intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn. (2019)
Main Title:
Machine learning for OpenCV 4 : intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn
Further Information:
Note: Aditya Sharma, Vishwesh Ravi Shrimali, Michael Beyeler.
Table of ContentsA Taste of Machine LearningWorking with Data in OpenCVFirst Steps in Supervised LearningRepresenting Data and Engineering FeaturesUsing Decision Trees to Make a Medical DiagnosisDetecting Pedestrians with Support Vector MachinesImplementing a Spam Filter with Bayesian LearningDiscovering Hidden Structures with Unsupervised LearningUsing Deep Learning to Classify Handwritten DigitsEnsemble Methods for ClassificationSelecting the Right Model with Hyperparameter TuningUsing OpenVINO with OpenCVConclusion.
Note: Description based on CIP data; resource not viewed.
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