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Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture

Xichuan Zhou

Artificial Intelligence

Deep Learning (The MIT Press Essential Knowledge series)

Deep Learning (The MIT Press Essential Knowledge series)

John D. Kelleher

Discovering Modern C++ (C++ In-Depth Series)

Discovering Modern C++ (C++ In-Depth Series)

Peter Gottschling

Deep Learning in Bioinformatics: Techniques and Applications in Practice

Deep Learning in Bioinformatics: Techniques and Applications in Practice

Habib Izadkhah

Python for Finance and Algorithmic trading (2nd edition): Machine Learning, Deep Learning, Time series Analysis, Risk and Portfolio Management for MetaTrader™5 Live Trading

Python for Finance and Algorithmic trading (2nd edition): Machine Learning, Deep Learning, Time series Analysis, Risk and Portfolio Management for MetaTrader™5 Live Trading

Lucas Inglese

Machine Learning

Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume III: Sequences & NLP

Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume III: Sequences & NLP

Daniel Voigt Godoy

Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining

Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining

Om Jena

Machine Learning

Network Intrusion Detection using Deep Learning: A Feature Learning Approach (SpringerBriefs on Cyber Security Systems and Networks)

Network Intrusion Detection using Deep Learning: A Feature Learning Approach (SpringerBriefs on Cyber Security Systems and Networks)

Kwangjo Kim

Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)

Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)

Ivan Gridin

Getting started with Deep Learning for Natural Language Processing: Learn how to build NLP applications with Deep Learning (English Edition)

Getting started with Deep Learning for Natural Language Processing: Learn how to build NLP applications with Deep Learning (English Edition)

Sunil Patel

Fundamentals of Deep Learning and Computer Vision: A Complete Guide to become an Expert in Deep Learning and Computer Vision (English Edition)

Fundamentals of Deep Learning and Computer Vision: A Complete Guide to become an Expert in Deep Learning and Computer Vision (English Edition)

Nikhil Singh

Machine Learning

Engineering Applications of Neural Networks: 19th International Conference, EANN 2018, Bristol, UK, September 3-5, 2018, Proceedings (Communications in Computer and Information Science, 893)

Engineering Applications of Neural Networks: 19th International Conference, EANN 2018, Bristol, UK, September 3-5, 2018, Proceedings (Communications in Computer and Information Science, 893)

Elias Pimenidis

Machine Learning

Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection: International Workshops of PAAMS ... Computer and Information Science Book 1678)

Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection: International Workshops of PAAMS ... Computer and Information Science Book 1678)

Alfonso González-Briones

Machine Learning

Machine Learning for Cybersecurity: Innovative Deep Learning Solutions (SpringerBriefs in Computer Science)

Machine Learning for Cybersecurity: Innovative Deep Learning Solutions (SpringerBriefs in Computer Science)

Marwan Omar

Machine Learning

Production-Ready Applied Deep Learning: Learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks

Production-Ready Applied Deep Learning: Learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks

Lenin Mookiah

Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition

Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition

Antonio Gulli

Neural Search - From Prototype to Production with Jina: Build deep learning–powered search systems that you can deploy and manage with ease

Neural Search - From Prototype to Production with Jina: Build deep learning–powered search systems that you can deploy and manage with ease

Shubham Saboo

Accelerate Deep Learning Workloads with Amazon SageMaker: Train, deploy, and scale deep learning models effectively using Amazon SageMaker

Accelerate Deep Learning Workloads with Amazon SageMaker: Train, deploy, and scale deep learning models effectively using Amazon SageMaker

Vadim Dabravolski

Artificial Intelligence

Deep Learning In Biology And Medicine

Deep Learning In Biology And Medicine

Davide Bacciu

Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Md. Rezaul Karim

Deep Learning with Python, Second Edition

Deep Learning with Python, Second Edition

François Chollet

Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools

Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools

Eli Stevens

Hacking Artificial Intelligence: A Leader's Guide from Deepfakes to Breaking Deep Learning

Hacking Artificial Intelligence: A Leader's Guide from Deepfakes to Breaking Deep Learning

Davey Gibian

Artificial Intelligence

Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD

Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD

Sylvain Gugger

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