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Author(s): Afonso de Sá Reis
Title: Accelerating the training of convolutional neural network
Issue Date: 2019-07-09
Description: The objective of this report is to implement a Convolutional Neural Network (CNN) in an FPGA, with a main focus on accelerating the training, using Maxeler technology as a way to compile higher level code directly into hardware.Neural Networks are one of the most commonly used models used in all sorts of tasks in Machine Learning. This type of network is mostly used for image recognition/generation, since a few layers ( convolutional, pooling) can be viewed as image operations to find features, which are then combined in the fully connected layer(s) and used to produce the output.
Subject: Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
TID identifier: 202388611
Document Type: Dissertação
Rights: openAccess
Appears in Collections:FEUP - Dissertação

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