BOOKS - EQUIPMENT - Learning in Energy-Efficient Neuromorphic Computing Algorithm and...
Learning in Energy-Efficient Neuromorphic Computing Algorithm and Architecture Co-Design - Nan Zheng, Pinaki Mazumder 2020 PDF Wiley-IEEE Press BOOKS EQUIPMENT
ECO~14 kg CO²

1 TON

Views
29156

Telegram
 
Learning in Energy-Efficient Neuromorphic Computing Algorithm and Architecture Co-Design
Author: Nan Zheng, Pinaki Mazumder
Year: 2020
Pages: 289
Format: PDF
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Content-Based Image Classification Efficient Machine Learning Using Robust Feature Extraction Techniques
GoLang for Machine Learning A Hands-on-Guide to Building Efficient, Smart and Scalable ML Models with Go Programming
Simplifying Common Assessment: A Guide for Professional Learning Communities at Work (How Teachers Can Develop Effective and Efficient Assessments)
Applied Soft Computing and Embedded System Applications in Solar Energy (Mathematical Engineering, Manufacturing, and Management Sciences)
Pathways to Machine Learning and Soft Computing
Soft Computing and Machine Learning with Python
Neuromorphic Photonics
Deep Learning in Visual Computing Explanations and Examples
Angular and Machine Learning Pocket Primer (Computing)
ReRAM-based Machine Learning (Computing and Networks)
Deep Learning in Visual Computing and Signal Processing
Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python
Advances of Machine Learning in Clean Energy
Real-Time Cloud Computing and Machine Learning Applications
Learning Microsoft Azure: Cloud Computing and Development Fundamentals
Machine Learning and Granular Computing A Synergistic Design Environment
Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy: Proceedings of the First International Conference, MMCITRE 2020 (Advances in Intelligent Systems and Computing, 1287)
Learning Microsoft Azure Cloud Computing and Development Fundamentals (Final)
Learning Microsoft Azure Cloud Computing and Development Fundamentals (Final)
Self-Powered Internet of Things: How Energy Harvesters Can Enable Energy-Positive Sensing, Processing, and Communication (Green Energy and Technology)
Limitless Energy: Discover How To Finally Work More Productively, Have More Energy And Feel Refreshed! Find Out Why You Don|t Have As Much Energy As You Did Before, And How You Can Change That!
Applications of Deep Machine Learning in Future Energy Systems
Applications of Deep Machine Learning in Future Energy Systems
Understanding Energy Innovation: Learning from Smart Grid Experiments
Python Debugging for AI, Machine Learning, and Cloud Computing: A Pattern-Oriented Approach
Python Debugging for AI, Machine Learning, and Cloud Computing A Pattern-Oriented Approach
Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata (Statistics and Computing)
Python Debugging for AI, Machine Learning, and Cloud Computing A Pattern-Oriented Approach
Advances in Complex Decision Making Using Machine Learning and Tools for Service-Oriented Computing
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Hardware Architectures
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Hardware Architectures
Advances in Complex Decision Making Using Machine Learning and Tools for Service-Oriented Computing
Home Office Solutions How to Set Up an Efficient Workspace Anywhere in Your House (Creative Homeowner) Creating a Comfortable Space for Remote Work; Space-Efficient Ideas, Organization Tips, and More
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Use Cases and Emerging Challenges
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Use Cases and Emerging Challenges
Geometric Algebra Applications Vol. III Integral Transforms, Machine Learning, and Quantum Computing
Energy Efficiency and Robustness of Advanced Machine Learning Architectures A Cross-Layer Approach
Energy Efficiency and Robustness of Advanced Machine Learning Architectures A Cross-Layer Approach
Coding with Python A Simple Guide to Start learning Lots of Exercises and Projects for Distributed Computing Systems
Google JAX Cookbook Perform Machine Learning and numerical computing with combined capabilities of TensorFlow and NumPy