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

Posted By: AvaxGenius

Date: 23 Mar 2022 22:55:23

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

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.

TensorFlow Deep Learning Machine Learning Neural Networks Convolutional Neural Network Deep Learning Fundamentals Recurrent Neural Network

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Literacy Essentials: Core Concepts Recurrent Neural Networks

Posted By: IrGens

Date: 17 Nov 2021 22:25:56

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

Recurrent Neural Network Python Neural Networks eLearning Video

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Deep Learning: Recurrent Neural Networks with Python

Posted By: IrGens

Date: 2 Mar 2021 12:20:51

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

eLearning Video Python Deep Learning Neural Network eLearning Videos Recurrent Neural Network

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

Posted By: AvaxGenius

Date: 30 Oct 2020 10:17:19

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.

Development Dynamic Control Articulated Agents Science Programming Engineering Patterns Metaheuristic Optimization Algorithms Soft Robots Mathematics Nature-inspired Algorithm Technology Recurrent Neural Network

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Evolutionary Machine Learning Techniques: Algorithms and Applications

Posted By: AvaxGenius

Date: 2 Jul 2020 07:27:21

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.

Development Spiking Neural Network Physical Neural Network Genetic fuzzy system Programming Fuzzy system Feedforward Neural Network Modular Neural Network Self-Optimizing Neural Network Patterns Engineering Algorithms ePub Radial Basis Function Network Science Probabilistic Neural Network Mathematics Neural Network Technology Recurrent Neural Network Artificial Neural Network

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

Posted By: AvaxGenius

Date: 13 Apr 2020 22:08:00

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.

Development Mathematics Road Geometry Deep Learning Programming Neural Networks versus statistical methods LiDAR Neural Network Patterns Engineering Algorithms Science Traffic Accidents Prediction Model Technology Recurrent Neural Network

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