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Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks (Repost)

Posted By: AvaxGenius
Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks (Repost)

Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks by Liangqu Long
English | PDF,EPUB | 2022 | 727 Pages | ISBN : 148427914X | 61.2 MB

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands of online learners.

Literacy Essentials: Core Concepts Recurrent Neural Networks

Posted By: IrGens
Literacy Essentials: Core Concepts Recurrent Neural Networks

Literacy Essentials: Core Concepts Recurrent Neural Networks
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 9m | 154 MB
Instructor: Tapan Ghatalia

Deep Learning: Recurrent Neural Networks with Python

Posted By: IrGens
Deep Learning: Recurrent Neural Networks with Python

Deep Learning: Recurrent Neural Networks with Python
ISBN: 9781801079167 | .MKV, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 11h 2m | 10.51 GB
Created by AI Sciences OÜ

Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach

Posted By: AvaxGenius
Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach

Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach by Ameer Hamza Khan
English | PDF | 2021 | 91 Pages | ISBN : 9811593914 | 4.5 MB

In this book, the authors focus on three aspects related to the development of articulated agents: presenting an overview of high-level control algorithms for intelligent decision-making of articulated agents, experimental study of the properties of soft agents as the end-effector of articulated agents, and accurate management of low-level torque-control loop to accurately control the articulated agents. This book summarizes recent advances related to articulated agents. The motive behind the book is to trigger theoretical and practical research studies related to articulated agents.

Evolutionary Machine Learning Techniques: Algorithms and Applications

Posted By: AvaxGenius
Evolutionary Machine Learning Techniques: Algorithms and Applications

Evolutionary Machine Learning Techniques: Algorithms and Applications by Seyedali Mirjalili
English | EPUB | 2020 | 287 Pages | ISBN : 9813299894 | 12.05 MB

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic neural networks, self-optimizing neural networks, radial basis function networks, recurrent neural networks, spiking neural networks, neuro-fuzzy networks, modular neural networks, physical neural networks, and deep neural networks.

Laser Scanning Systems in Highway and Safety Assessment: Analysis of Highway Geometry and Safety Using LiDAR

Posted By: AvaxGenius
Laser Scanning Systems in Highway and Safety Assessment: Analysis of Highway Geometry and Safety Using LiDAR

Laser Scanning Systems in Highway and Safety Assessment: Analysis of Highway Geometry and Safety Using LiDAR by Biswajeet Pradhan
English | EPUB | 2020 | 165 Pages | ISBN : 3030103730 | 42.9 MB

This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. The first two chapters of the book introduce the reader to laser scanning technology with creative explanation and graphical illustrations, review and recent methods of extracting geometric road parameters.