BOOKS - Deep Learning for Multimedia Processing Applications Volume Two Signal Proces...
Deep Learning for Multimedia Processing Applications Volume Two Signal Processing and Pattern Recognition - Uzair Aslam Bhatti, Jingbing Li, Mengxing Huang 2024 PDF CRC Press BOOKS
ECO~18 kg CO²

1 TON

Views
74001

Telegram
 
Deep Learning for Multimedia Processing Applications Volume Two Signal Processing and Pattern Recognition
Author: Uzair Aslam Bhatti, Jingbing Li, Mengxing Huang
Year: 2024
Pages: 481
Format: PDF
File size: 29.6 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Deep Learning for Multimedia Processing Applications Volume 1 Image Security and Intelligent Systems for Multimedia Processing
Deep Learning for Multimedia Processing Applications Volume 1 Image Security and Intelligent Systems for Multimedia Processing
Deep Learning for Multimedia Processing Applications Volume Two Signal Processing and Pattern Recognition
Deep Learning for Multimedia Processing Applications Volume Two Signal Processing and Pattern Recognition
Deep Learning for Multimedia Processing
Getting started with Deep Learning for Natural Language Processing Learn how to build NLP applications with Deep Learning
Deep Learning for Image Processing Applications
Deep Learning Theory, Architectures and Applications in Speech, Image and Language Processing
Real-World Natural Language Processing Practical applications with deep learning
Deep Learning Theory, Architectures and Applications in Speech, Image and Language Processing
Hands-On Natural Language Processing with PyTorch 1.x: Build smart, AI-driven linguistic applications using deep learning and NLP techniques
Natural Language Processing with PyTorch Build Intelligent Language Applications Using Deep Learning
Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
Intelligent Multimedia Processing and Computer Vision Techniques and applications
Intelligent Multimedia Processing and Computer Vision Techniques and applications
Federated Learning for Multimedia Data Processing and Security in Industry 5.0
Programming PyTorch for Deep Learning Creating and Deploying Deep Learning Applications First Edition
Hands-on Deep Learning A Guide to Deep Learning with Projects and Applications
Machine Learning and Deep Learning in Natural Language Processing
Machine Learning and Deep Learning in Natural Language Processing
Deep Learning for Natural Language Processing Develop Deep Learning Models for Natural Language in Python
Simple Machine Learning for Programmers Beginner|s Intro to Using Machine Learning, Deep Learning, and Artificial Intelligence for Practical Applications
Deep Learning in Gaming and Animations Principles and Applications (Explainable AI (XAI) for Engineering Applications)
Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Building Intelligent Systems Using Machine Learning and Deep Learning Security, Applications and Its Challenges
Building Intelligent Systems Using Machine Learning and Deep Learning Security, Applications and Its Challenges
Risk Modeling Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Machine Learning with Python A Comprehensive Guide To Algorithms, Deep Learning Techniques, And Practical Applications
Machine Learning and Deep Learning in Real-Time Applications
Deep Learning in Visual Computing and Signal Processing
Deep Learning in Medical Image Processing and Analysis
Deep Learning in Medical Image Processing and Analysis
Deep Learning for Natural Language Processing: A Gentle Introduction
Deep Learning for Natural Language Processing A Gentle Introduction
Deep Learning for Natural Language Processing A Gentle Introduction
Geometry of Deep Learning: A Signal Processing Perspective (Mathematics in Industry, 37)
Deep Learning for Natural Language Processing (MEAP Edition) +code
Deep Learning in Medical Image Processing and Analysis (Healthcare Technologies)
Applications of Optimization and Machine Learning in Image Processing and IoT
Applications of Optimization and Machine Learning in Image Processing and IoT