Location: United States
Member Since:
Oct. 12, 2019
Mark Magic
Biography
Dr. Magic is a Senior Software Engineer living in Long Island, New York. He loves reading and writing. He is very interested in Computer Vision and Machine Learning. He has concentrated on image processing for more than five years.
Books
Action Recognition: Step-by-step Recognizing Actions with Python and Recurrent Neural Network
by Mark Magic
Price:
$9.99 USD.
Words: 14,230.
Language:
English.
Published: July 2, 2019
by
Pond Path Publishing.
Categories:
Nonfiction » Computers & Internet » Computer vision & pattern recognition, Nonfiction » Education & Study Guides » Computers & technology
This book used an RNN (Recurrent Neural Network) with a LSTM (Long-Short Term Memory) layer to recognize actions in videos coded with Python in Jupyter Notebook. The codes could be executed on both CPU and GPU. The highest prediction accuracy from the RNN was 86.97%, which was a little higher than that from an SVM (Support Vector Machines) classifier (86.09%).
Image Classification: Step-by-step Classifying Images with Python and Techniques of Computer Vision and Machine Learning
by Mark Magic
Price:
$9.99 USD.
Words: 15,460.
Language:
American English.
Published: June 4, 2019
by
Pond Path Publishing.
Categories:
Nonfiction » Computers & Internet » Computer vision & pattern recognition, Nonfiction » Computers & Internet » Programming » Python
This book implemented 6 algorithms to classify images with testing data prediction accuracy as primary criterion (30% ~ 90%) and time consumption as secondary one (seconds to 1 hour). Considering both of the criteria, the Pre-Trained AlexNet Features Representation plus a Classifier, such as the k-Nearest Neighbors (KNN) and the Support Vector Machines (SVM), was concluded as the best algorithm.