BOOKS - PROGRAMMING - Trends in Deep Learning Methodologies Algorithms, Applications,...
Trends in Deep Learning Methodologies Algorithms, Applications, and Systems (Hybrid Computational Intelligence for Pattern Analysis and Understanding) - Vincenzo Piuri (Editor), Sandeep Raj (Editor), Angelo Genovese (Editor), Rajshree Srivastava (Editor) 2020 EPUB Academic Press BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
53132

Telegram
 
Trends in Deep Learning Methodologies Algorithms, Applications, and Systems (Hybrid Computational Intelligence for Pattern Analysis and Understanding)
Author: Vincenzo Piuri (Editor), Sandeep Raj (Editor), Angelo Genovese (Editor), Rajshree Srivastava (Editor)
Year: 2020
Pages: 294
Format: EPUB
File size: 48.3 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Practical Mathematics for AI and Deep Learning: A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning (English Edition)
Mastering Deep Learning: A Comprehensive Guide to Master Deep Learning
Mastering Deep Learning A Comprehensive Guide to Master Deep Learning
Mastering Deep Learning A Comprehensive Guide to Master Deep Learning
Deep Learning Beginner’s Guide to Learn the Realms of Deep Learning from A-Z
Hands-on Deep Learning A Guide to Deep Learning with Projects and Applications
Neural Networks and Deep Learning Neural Networks & Deep Learning, Deep Learning, Big Data
Mastering Classification Algorithms for Machine Learning: Learn how to apply Classification algorithms for effective Machine Learning solutions (English Edition)
Fundamentals of Machine & Deep Learning A Complete Guide on Python Coding for Machine and Deep Learning with Practical Exercises for Learners (Sachan Book 102)
Deep Learning with Python The Crash Course for Beginners to Learn the Basics of Deep Learning with Python Using TensorFlow, Keras and PyTorch
Key Digital Trends in Artificial Intelligence and Robotics: Proceedings of 4th International Conference on Deep Learning, Artificial Intelligence and … (Lecture Notes in Networks and Systems, 67
Deep Learning with Python Comprehensive Beginners Guide to Learn and Understand the Realms of Deep Learning with Python
Beginning with Deep Learning Using TensorFlow A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principle
Deep Learning With Python Simple and Effective Tips and Tricks to Learn Deep Learning with Python
Online Machine Learning: A Practical Guide with Examples in Python (Machine Learning: Foundations, Methodologies, and Applications)
Robust Machine Learning: Distributed Methods for Safe AI (Machine Learning: Foundations, Methodologies, and Applications)
Google JAX Essentials A quick practical learning of blazing-fast library for Machine Learning and Deep Learning projects
Deep Learning With Python Advanced and Effective Strategies of Using Deep Learning with Python Theories
Shallow Learning vs. Deep Learning A Practical Guide for Machine Learning Solutions
Shallow Learning vs. Deep Learning A Practical Guide for Machine Learning Solutions
Artificial Intelligence What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
Hands-on Supervised Learning with Python Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms
Deep Learning with Python The Ultimate Beginners Guide for Deep Learning with Python
Deep Machine Learning Complete Tips and Tricks to Deep Machine Learning
Methodologies, Frameworks, and Applications of Machine Learning
Methodologies, Frameworks, and Applications of Machine Learning
Methodologies, Frameworks, and Applications of Machine Learning
Machine Learning Master Supervised and Unsupervised Learning Algorithms with Real Examples
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)
Simple Machine Learning for Programmers Beginner|s Intro to Using Machine Learning, Deep Learning, and Artificial Intelligence for Practical Applications
Deep Learning with Python The ultimate beginners guide to Learn Deep Learning with Python Step by Step
Deep Learning for Natural Language Processing Develop Deep Learning Models for Natural Language in Python
Learning Genetic Algorithms with Python Empower the Performance of Machine Learning and AI Models with the Capabilities of a Powerful Search Algorithm
Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks
Machine Learning: Fundamental Algorithms for Supervised and Unsupervised Learning With Real-World Applications (Advanced Data Analytics Book 1)
Deep Learning via Rust State of the Art Deep Learning in Rust
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning
Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems