With Machine Learning for OpenCV 4 – Second Edition, gain insights into machine learning algorithms, and implement them using OpenCV 4 and scikit-learn. Get up to speed with Intel OpenVINO and its integration with OpenCV 4. (Limited-time offer)
Table of Contents
- A Taste of Machine Learning
- Working with Data in OpenCV
- First Steps in Supervised Learning
- Representing Data and Engineering Features
- Using Decision Trees to Make a Medical Diagnosis
- Detecting Pedestrians with Support Vector Machines
- Implementing a Spam Filter with Bayesian Learning
- Discovering Hidden Structures with Unsupervised Learning
- Using Deep Learning to Classify Handwritten Digits
- Ensemble Methods for Classification
- Selecting the Right Model with Hyperparameter Tuning
- Using OpenVINO with OpenCV
- Conclusion
Download Free PDF / Read Online
Author(s): Aditya Sharma, Vishwesh Ravi Shrimali, Et al
Publisher: Packt Publishing
Published: September 2019
Format(s): Online
File size: –
Number of pages: 420
Download / View Link(s): This offer has ended.
Free as of05/14/2020 02/17/2022.
Publisher: Packt Publishing
Published: September 2019
Format(s): Online
File size: –
Number of pages: 420
Download / View Link(s): This offer has ended.
Free as of