Search Results for author: Philip Colangelo

Found 3 papers, 0 papers with code

AutoML for Multilayer Perceptron and FPGA Co-design

no code implementations14 Sep 2020 Philip Colangelo, Oren Segal, Alex Speicher, Martin Margala

In this work, we develop and test a general multilayer perceptron (MLP) flow that can take arbitrary datasets as input and automatically produce optimized NNAs and hardware designs.

Neural Architecture Search

Evolutionary Cell Aided Design for Neural Network Architectures

no code implementations6 Mar 2019 Philip Colangelo, Oren Segal, Alexander Speicher, Martin Margala

Mathematical theory shows us that multilayer feedforward Artificial Neural Networks(ANNs) are universal function approximators, capable of approximating any measurable function to any desired degree of accuracy.

Efficient Neural Network Image Classification

Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs

no code implementations12 Jun 2018 Philip Colangelo, Nasibeh Nasiri, Asit Mishra, Eriko Nurvitadhi, Martin Margala, Kevin Nealis

This results in a trade-off between throughput and accuracy and can be tailored for different networks through various combinations of activation and weight data widths.

Distributed, Parallel, and Cluster Computing Hardware Architecture

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