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
88958

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:

Machine Learning and Deep Learning in Neuroimaging Data Analysis
Python Machine Learning The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms A Practical Approach Using Python
Learning Deep Learning Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow
Automated Software Engineering: A Deep Learning-Based Approach (Learning and Analytics in Intelligent Systems Book 8)
Default Loan Prediction Based On Customer Behavior Using Machine Learning And Deep Learning With Python, Second Edition
Generative AI with Python Harnessing The Power Of Machine Learning And Deep Learning To Build Creative And Intelligent Systems
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Data Scientist Pocket Guide Over 600 Concepts, Terminologies, and Processes of Machine Learning and Deep Learning Assembled
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Final Release)
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Final Release)
Programming Machine Learning From Coding to Deep Learning
Data Science Crash Course Thyroid Disease Classification and Prediction Using Machine Learning and Deep Learning with Python GUI, Second Edition
Learning Deep Learning Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow (Rough Cuts)
Image Statistics in Visual Computing
Deep Learning and XAI Techniques for Anomaly Detection: Integrate the theory and practice of deep anomaly explainability
Applied Machine Learning and High-Performance Computing on AWS: Accelerate the development of machine learning applications following architectural best practices
Computer Programming This Book Includes Machine Learning for Beginners, Machine Learning with Python, Deep Learning with Python, Python for Data Analysis
Programming With Python 4 Manuscripts - Deep Learning With Keras, Convolutional Neural Networks In Python, Python Machine Learning, Machine Learning With Tensorflow
Cloud Computing for Machine Learning and Cognitive Applications A Machine Learning Approach
Machine Learning for Beginners A Math Guide to Mastering Deep Learning and Business Application. Understand How Artificial Intelligence, Data Science, and Neural Networks Work Through Real Examples
Learn AI with Python Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn
Quantum AI Machine Learning and Deep Learning for Everyone A Beginners Guide to Unlocking Business Opportunities by Leveraging the power of AI in Quantum Age
Quantum AI Machine Learning and Deep Learning for Everyone A Beginners Guide to Unlocking Business Opportunities by Leveraging the power of AI in Quantum Age
Artificial Intelligence For Business How Your Company Can Make More Profit with Machine Learning, Data Science, Big Data, and Deep Learning
Learning PyTorch 2.0: Experiment deep learning from basics to complex models using every potential capability of Pythonic PyTorch
Learning PyTorch 2.0, Second Edition Utilize PyTorch 2.3 and CUDA 12 to experiment neural networks and Deep Learning models
Learning PyTorch 2.0, Second Edition Utilize PyTorch 2.3 and CUDA 12 to experiment neural networks and Deep Learning models
Learning PyTorch 2.0 Experiment Deep Learning from basics to complex models using every potential capability of Pythonic PyTorch
Learning PyTorch 2.0 Experiment Deep Learning from basics to complex models using every potential capability of Pythonic PyTorch
From Machine Learning To Deep Learning
Deep Learning with C#, .Net and Kelp.Net The Ultimate Kelp.Net Deep Learning Guide
Learn AI with Python: Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras
Python Programming The Crash Course for Python – Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners
Deep Learning and AI Superhero Mastering TensorFlow, Keras, and PyTorch Advanced Machine Learning and AI, Neural Networks, and Real-World Projects (Mastering the AI Revolution)
Learn Autonomous Programming with Python Utilize Python|s capabilities in Artificial Intelligence, Machine Learning, Deep Learning and robotic process automation
Learn Autonomous Programming with Python Utilize Python|s capabilities in Artificial Intelligence, Machine Learning, Deep Learning and robotic process automation
Machine Learning and Deep Learning in Computational Toxicology (Computational Methods in Engineering and the Sciences)
Grokking Algorithms Simple and Effective Methods to Grokking Deep Learning and Machine Learning
Python Machine Learning Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow