Practical Machine Learning and Image Processing : For Facial Recognition, Object Detection, and Pattern Recognition Using Python /: For Facial Recognition, Object Detection, and Pattern Recognition Using Python. (2019)

• Record Type: Book
• Further Information: Note: Himanshu Singh.
• Authors: Singh, Himanshu
• Contents: Chapter 1: Installation and Environment Setup Chapter Goal: Making System Ready for Image Processing and Analysis No of pages 20 Sub -Topics (Top 2) 1. Installing Jupyter Notebook 2. Installing OpenCV and other Image Analysis dependencies 3. Installing Neural Network Dependencies Chapter 2: Introduction to Python and Image Processing Chapter Goal: Introduction to different concepts of Python and Image processing Application on it. No of pages: 50 Sub - Topics (Top 2) 1. Essentials of Python 2. Terminologies related to Image Analysis Chapter 3: Advanced Image Processing using OpenCV Chapter Goal: Understanding Algorithms and their applications using Python No of pages: 100 Sub - Topics (Top 2): 1. Operations on Images 2. Image Transformations Chapter 4: Machine Learning Approaches in Image Processing Chapter Goal: Basic Implementation of Machine and Deep Learning Models, which takes care of Image Processing, before applications in real-time scenario No of pages: 100 Sub - Topics (Top 2): 1. Image Classification and Segmentation 2. Applying Supervised and Unsupervised Learning approaches on Images using Python Chapter 5: Real Time Use Cases Chapter Goal: Working on 5 projects using Python, applying all the concepts learned in this book No of pages: 100 Sub - Topics (Top 5): 1. Facial Detection 2. Facial Recognition 3. Hand Gesture Movement Recognition 4. Self-Driving Cars Conceptualization: Advanced Lane Finding 5. Self-Driving Cars Conceptualization: Traffic Signs Detection Chapter 6: Appendix A Chapter Goal: Advanced concepts Introduction No of pages: 50 Sub - Topics (Top 2): 1. AdaBoost and XGBoost 2. Pulse Coupled Neural Networks.
• Publisher Details: Berkeley, CA : Apress
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource (169 pages)
• Subjects: Computer science; Artificial intelligence; Open source software; Computer programming; Python (Computer program language); Computers -- Programming Languages -- General; Computers -- Programming -- Open Source; Computers -- Programming Languages -- Python; Programming & scripting languages: general; Computer programming / software development; Computers -- Intelligence (AI) & Semantics; Artificial intelligence
• Languages: English
• ISBNs: 9781484241493
• Related ISBNs: 9781484241486
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.