A framework for customizable deep neural network hardware generation on FPGA

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A framework for customizable deep neural network hardware generation on FPGA

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Lignende værker

Deep Neural Networks in a Mathematical Framework
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Udgivet: (2020)

Neural Networks and Deep Learning
af: Aggarwal, Charu C.
Udgivet: (2020)

Implementation of a dynamic partial reconfigurable FPGA framework for flexible network on chip

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Design of artificial neural network architecture for handwritten digit recognition on FPGA

Real-Time IoT Imaging with Deep Neural Networks
af: Modrzyk, Nicolas
Udgivet: (2020)

Evolutionary Approach to Machine Learning and Deep Neural Networks
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Udgivet: (2020)

Deep Convolutional Neural Network for Diseases Diagnosis on Plants
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Udgivet: (2022)

DESIGN AND IMPLEMENTATION OF CUSTOMIZABLE SENSOR NODE FOR RESEARCH AND DEVELOPMENT OF A SENSOR-NETWORK SIMULATION PLATFORM
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Udgivet: (2023)

Generating Hardware Assertion Checkers
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Udgivet: (2020)

Developing a flexible NoC-based multicore reconfigurable hardware platform on FPGA

MATLAB deep learning : with machine learning, neural networks and artificial intelligence
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Udgivet: (2017)

Deep Learning-Based Convolutional Neural Network for Crash Severity Prediction
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Udgivet: (2024)

The Healthcare System "Hello Kids" for Children Applying Deep Neural Network Architecture
af: Duong, Tuan Dat
Udgivet: (2025)

Composition of self-adapting components for customizable systems /
af: Pastrana, J.L.

A Study of Cerebellum-Like Spiking Neural Networks for the Prosody Generation of Robotic Speech
af: Vo Nhu Thanh
Udgivet: (2017)

ErLinkTopic: A GENERATIVE PROBABILISTIC FRAMEWORK FOR ANALYZING REGIONAL COMMUNITIES IN SOCIAL NETWORKS
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Udgivet: (2023)

Deep Learning and Convolutional Neural Networks for Medical Image Computing. 1st ed. 2017
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Udgivet: (2020)

Deep Learning Techniques for Music Generation
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Udgivet: (2020)

Compiling C-like languages to FPGA hardware : Some novel approaches targeting data memory organization /

Medicinal Herb Identification through Stacking Ensemble Learning and Fine-Tuned Deep Neural Networks for Feature Learning
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Udgivet: (2024)

SSL-MedImNet: Self-Supervised Pre-training of Deep Neural Network for COVID-19 Diagnosis
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Udgivet: (2023)

Acombination of context - Fuzzy clustering method and learning with fogetting algorithm in a neural network model to generating fuzzy rules /
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Composing Fisher Kernels from Deep Neural Models
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Udgivet: (2020)

Application of artificial neural network with fine–tuning parameters for forecasting PM2.5 in deep open–pit mines: A case study
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Udgivet: (2025)

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Udgivet: (1999)

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af: Timotheou, Stelios.

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Udgivet: (1999)

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Udgivet: (2004)

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Udgivet: (2024)

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Udgivet: (2006)

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Udgivet: (1996)