BOOKS - Deep Learning in Visual Computing and Signal Processing
Deep Learning in Visual Computing and Signal Processing - Krishna Kant Singh October 20, 2022 PDF  BOOKS
ECO~25 kg CO²

2 TON

Views
88968

Telegram
 
Deep Learning in Visual Computing and Signal Processing
Author: Krishna Kant Singh
Year: October 20, 2022
Format: PDF
File size: PDF 16 MB
Language: English



Pay with Telegram STARS
''

You may also be interested in:

Deep Learning Applications in Image Analysis (Studies in Big Data Book 129)
Artificial Intelligence and Brain Research Neural Networks, Deep Learning and the Future of Cognition
Artificial Intelligence and Brain Research: Neural Networks, Deep Learning and the Future of Cognition
Generatives Deep Learning Maschinen das Malen, Schreiben und Komponieren beibringen
Machine Learning with Neural Networks An In-depth Visual Introduction with Python Make Your Own Neural Network in Python A Simple Guide on Machine Learning with Neural Networks
Learning Tableau 2020: Create Effective Data Visualizations, Build Interactive Visual Analytics, and Transform Your Organization
Deep Reinforcement Learning with Python RLHF for Chatbots and Large Language Models, 2nd Edition
Pro Deep Learning with TensorFlow 2.0 A Mathematical Approach to Advanced Artificial Intelligence in Python, Second Edition
Artificial Intelligence for Scientific Discoveries: Extracting Physical Concepts from Experimental Data Using Deep Learning
Deep Reinforcement Learning with Python RLHF for Chatbots and Large Language Models, 2nd Edition
Deep Learning Applications and Intelligent Decision Making in Engineering (Advances in Computational Intelligence and Robotics)
Applied Deep Learning Design and implement your own Neural Networks to solve real-world problems
Pro Deep Learning with TensorFlow 2.0 A Mathematical Approach to Advanced Artificial Intelligence in Python, Second Edition
Hacking Graphic Novels: 8 Ways to Teach Higher-Level Thinking with Comics and Visual Storytelling (Hack Learning Series)
Zen of Cloud Learning Cloud Computing by Examples, 2nd Edition
Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy
Deep Learning - Das umfassende Handbuch Grundlagen, aktuelle Verfahren und Algorithmen, neue Forschungsansatze
Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning (Lecture Notes in Computer Science Book 11700)
Machine Learning for Decision Makers Cognitive Computing Fundamentals for Better Decision Making 2nd Edition
Machine Learning for Decision Makers Cognitive Computing Fundamentals for Better Decision Making 2nd Edition
Trends in Deep Learning Methodologies Algorithms, Applications, and Systems (Hybrid Computational Intelligence for Pattern Analysis and Understanding)
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Software Optimizations and Hardware Software Codesign
Hands-On Natural Language Processing with PyTorch 1.x: Build smart, AI-driven linguistic applications using deep learning and NLP techniques
Deep Learning in Medical Image Analysis: Recent Advances and Future Trends (Artificial Intelligence in Smart Healthcare Systems)
Learning Git: A Hands-On and Visual Guide to the Basics of Git
Upgrading Visual Basic 6.0 Applications to Visual Basic .NET and Visual Basic 2005 Patterns & Practices
Quantum Machine Learning Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing
Quantum Machine Learning Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing
Generative Deep Learning with Python: Unleashing the Creative Power of AI (Mastering AI and Python)
Human Pose Analysis Deep Learning Meets Human Kinematics in Video
Deep Learning Demystified A Step-by-Step Introduction to Neural Networks
Deep Learning with PyTorch Step-by-Step A Beginner|s Guide
Deep Learning with PyTorch Step-by-Step A Beginner|s Guide
A Generative Journey to AI Mastering the foundations and frontiers of generative deep learning
Deep Learning with PyTorch Step-by-Step A Beginner|s Guide
Deep Learning Crash Course for Beginners with Python Theory and Applications step-by-step using TensorFlow 2.0
Deep Learning in Gaming and Animations Principles and Applications (Explainable AI (XAI) for Engineering Applications)
Deep Learning for Multimedia Processing Applications Volume Two Signal Processing and Pattern Recognition
Natural Language Processing with PyTorch Build Intelligent Language Applications Using Deep Learning