FPGAs take on convolutional neural networks - Rambus

FPGAs take on convolutional neural networks - Rambus

Machine Learning on Intel® FPGAs | Intel® Software

Machine Learning on Intel® FPGAs | Intel® Software

High Performance Distributed Deep Learning for Dummies

High Performance Distributed Deep Learning for Dummies

Neural Network Controller using NARX - File Exchange - MATLAB Central

Neural Network Controller using NARX - File Exchange - MATLAB Central

Papers With Code : A Design Methodology for Efficient Implementation

Papers With Code : A Design Methodology for Efficient Implementation

Domain-Specific Accelerator Design & Profiling for Deep Learning

Domain-Specific Accelerator Design & Profiling for Deep Learning

How to Quantize Neural Networks with TensorFlow « Pete Warden's blog

How to Quantize Neural Networks with TensorFlow « Pete Warden's blog

FPGA Based Sign Language Interpretation Using Convolutional Neural Networks  - Xilinx XOHW18 #311

FPGA Based Sign Language Interpretation Using Convolutional Neural Networks - Xilinx XOHW18 #311

OpenVINO™ toolkit | 01 org

OpenVINO™ toolkit | 01 org

How to Use FPGAs for Deep Learning Inference to Perform Land Cover

How to Use FPGAs for Deep Learning Inference to Perform Land Cover

DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator

DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator

Lichee Tang 64Mbit SDRAM Onboard FPGA Downloader Dual Flash Core Board  RISC-V Development Board Mini PC

Lichee Tang 64Mbit SDRAM Onboard FPGA Downloader Dual Flash Core Board RISC-V Development Board Mini PC

Arxiv Sanity Preserver

Arxiv Sanity Preserver

FPGA Implementation of Convolutional Neural Networks with Fixed

FPGA Implementation of Convolutional Neural Networks with Fixed

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and

SqueezeJet: High-Level Synthesis Accelerator Design for Deep

SqueezeJet: High-Level Synthesis Accelerator Design for Deep

PDF] FPGA implementation of a Convolutional Neural Network for

PDF] FPGA implementation of a Convolutional Neural Network for "Wake

Using HLS on an FPGA-Based Image Processing Platform - Hackster io

Using HLS on an FPGA-Based Image Processing Platform - Hackster io

Top 15 Deep Learning Software - Compare Reviews, Features, Pricing

Top 15 Deep Learning Software - Compare Reviews, Features, Pricing

Open Source IP Manual

Open Source IP Manual

Xilinx University Program Open Hardware Design Contest - 2017 FINALISTS

Xilinx University Program Open Hardware Design Contest - 2017 FINALISTS

PDF] FPGA implementation of a Convolutional Neural Network for

PDF] FPGA implementation of a Convolutional Neural Network for "Wake

Fast Inference of Deep Neural Networks in FPGAs for Particle Physics

Fast Inference of Deep Neural Networks in FPGAs for Particle Physics

OpenCV People Counter - PyImageSearch

OpenCV People Counter - PyImageSearch

innovatefpga (InnovateFPGA) · GitHub

innovatefpga (InnovateFPGA) · GitHub

Stylianos I  Venieris | Home

Stylianos I Venieris | Home

Bitwise Neural Networks on FPGA: High-Speed and Low-Power

Bitwise Neural Networks on FPGA: High-Speed and Low-Power

RV-IOV: Tethering RISC-V Processors via Scalable I/O Virtualization

RV-IOV: Tethering RISC-V Processors via Scalable I/O Virtualization

PolarFire SoC

PolarFire SoC

Bnn Pynq Github

Bnn Pynq Github

Fast Inference of Deep Neural Networks in FPGAs for Particle Physics

Fast Inference of Deep Neural Networks in FPGAs for Particle Physics

DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator

DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator

25 Replies to “DarkNet in OpenCL”

25 Replies to “DarkNet in OpenCL”

Intel Gears Up For FPGA Push

Intel Gears Up For FPGA Push

FPGA Implementation of Convolutional Neural Networks with Fixed

FPGA Implementation of Convolutional Neural Networks with Fixed

FPGA Processors

FPGA Processors

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and

IEEE Copyright Notice

IEEE Copyright Notice

FPGA | Hackaday | Page 2

FPGA | Hackaday | Page 2

FINN: A Framework for Fast, Scalable Binarized Neural Network Inference

FINN: A Framework for Fast, Scalable Binarized Neural Network Inference

Machine Learning on Accelerated Platforms

Machine Learning on Accelerated Platforms

SqueezeJet: High-Level Synthesis Accelerator Design for Deep

SqueezeJet: High-Level Synthesis Accelerator Design for Deep

Inference on the edge - Towards Data Science

Inference on the edge - Towards Data Science

Intel Gears Up For FPGA Push

Intel Gears Up For FPGA Push

FPGA Implementation of Convolutional Neural Networks with Fixed

FPGA Implementation of Convolutional Neural Networks with Fixed

ULX3S: An Open-Source Lattice ECP5 FPGA PCB | Hackaday

ULX3S: An Open-Source Lattice ECP5 FPGA PCB | Hackaday

FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration

FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration

Deep learning with FPGA aka BNN - Q-engineering

Deep learning with FPGA aka BNN - Q-engineering

PowerPoint プレゼンテーション

PowerPoint プレゼンテーション

A Closer Look at Intel Movidius Neural Compute Stick - The New Stack

A Closer Look at Intel Movidius Neural Compute Stick - The New Stack

Khronos Group Launches the Neural Network Exchange Format

Khronos Group Launches the Neural Network Exchange Format

Simple Neural Network on MCUs - Hackster Blog

Simple Neural Network on MCUs - Hackster Blog

PDF) EFCAD -an Embedded FPGA CAD Tool Flow for Enabling On-Chip Self

PDF) EFCAD -an Embedded FPGA CAD Tool Flow for Enabling On-Chip Self

Course: Deep Learning Inference with Intel® FPGAs | Intel® AI

Course: Deep Learning Inference with Intel® FPGAs | Intel® AI

FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration

FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration

arXiv:1602 04283v1 [cs DC] 13 Feb 2016

arXiv:1602 04283v1 [cs DC] 13 Feb 2016

Joker TV, FPGA Verilog/VHDL code - Joker Systems

Joker TV, FPGA Verilog/VHDL code - Joker Systems

Data Science, Database, Tools Learning's (Video-Image-Text-Data

Data Science, Database, Tools Learning's (Video-Image-Text-Data

Near-Memory Training of Neural Networks - iis-projects

Near-Memory Training of Neural Networks - iis-projects

Bitwise Neural Networks on FPGA: High-Speed and Low-Power

Bitwise Neural Networks on FPGA: High-Speed and Low-Power

FPGA Implementation of Convolutional Neural Networks with Fixed

FPGA Implementation of Convolutional Neural Networks with Fixed

Deep learning in bioinformatics: introduction, application, and

Deep learning in bioinformatics: introduction, application, and

Acceleration of Scientific Deep Learning Models on Heterogeneous

Acceleration of Scientific Deep Learning Models on Heterogeneous

FPGAs? Sure, them too  Liqid pours chips over composable computing

FPGAs? Sure, them too Liqid pours chips over composable computing

Quality inspection in manufacturing using deep learning based

Quality inspection in manufacturing using deep learning based

Deep Learning Neural Network Acceleration at the Edge

Deep Learning Neural Network Acceleration at the Edge

A CNN Accelerator on FPGA Using Depthwise Separable Convolution

A CNN Accelerator on FPGA Using Depthwise Separable Convolution

Accelerating Binarized Convolutional Neural Networks with Software

Accelerating Binarized Convolutional Neural Networks with Software

DL] A Survey of FPGA-based Neural Network Inference Accelerators

DL] A Survey of FPGA-based Neural Network Inference Accelerators

Multi-Candidate Word Segmentation using Bi-directional LSTM Neural

Multi-Candidate Word Segmentation using Bi-directional LSTM Neural

VTA: An Open, Customizable Deep Learning Acceleration Stack

VTA: An Open, Customizable Deep Learning Acceleration Stack

FPGAs for Supercomputing: The Why and How

FPGAs for Supercomputing: The Why and How

Xilinx ML Suite Overview

Xilinx ML Suite Overview

Xilinx University Program Open Hardware Design Contest - 2016 FINALISTS

Xilinx University Program Open Hardware Design Contest - 2016 FINALISTS

Machine Learning Inference with FPGAs

Machine Learning Inference with FPGAs

Exploration and Tradeoffs of Different Kernels in FPGA Deep Learning

Exploration and Tradeoffs of Different Kernels in FPGA Deep Learning

FPGA-Based Accelerators of Deep Learning Networks for Learning and

FPGA-Based Accelerators of Deep Learning Networks for Learning and

Chisel, C++, FPGA to Edge Inference

Chisel, C++, FPGA to Edge Inference

Quality inspection in manufacturing using deep learning based

Quality inspection in manufacturing using deep learning based

Quality inspection in manufacturing using deep learning based

Quality inspection in manufacturing using deep learning based

B-DCGAN:Evaluation of Binarized DCGAN for FPGA | DeepAI

B-DCGAN:Evaluation of Binarized DCGAN for FPGA | DeepAI

Fast Inference of Deep Neural Networks in FPGAs for Particle Physics

Fast Inference of Deep Neural Networks in FPGAs for Particle Physics

Top 15 Deep Learning Software - Compare Reviews, Features, Pricing

Top 15 Deep Learning Software - Compare Reviews, Features, Pricing

Intel Open Sources nGraph Deep Neural Network model for Multiple

Intel Open Sources nGraph Deep Neural Network model for Multiple

Compression of Deep Neural Networks (for FPGAs & Trigger)

Compression of Deep Neural Networks (for FPGAs & Trigger)

Multi-Candidate Word Segmentation using Bi-directional LSTM Neural

Multi-Candidate Word Segmentation using Bi-directional LSTM Neural

PowerPoint 演示文稿

PowerPoint 演示文稿

FPGA-Based Accelerators of Deep Learning Networks for Learning and

FPGA-Based Accelerators of Deep Learning Networks for Learning and

IP Products | Arm Compute Library – Arm Developer

IP Products | Arm Compute Library – Arm Developer

PYNQ-Z1で始めるDeep Learning on FPGA入門(その1:購入からJupyter

PYNQ-Z1で始めるDeep Learning on FPGA入門(その1:購入からJupyter

FPGA Implementation of Convolutional Neural Networks with Fixed

FPGA Implementation of Convolutional Neural Networks with Fixed

How to Use FPGAs for Deep Learning Inference to Perform Land Cover

How to Use FPGAs for Deep Learning Inference to Perform Land Cover

The 25 Best Data Science and Machine Learning GitHub Repositories

The 25 Best Data Science and Machine Learning GitHub Repositories

A GAMEBOY supercomputer - Towards Data Science

A GAMEBOY supercomputer - Towards Data Science

DPU TRD for Ultra96 - Hackster io

DPU TRD for Ultra96 - Hackster io

quantum neural networks Archives - Xanadu Quantum Technologies

quantum neural networks Archives - Xanadu Quantum Technologies

FPGA Implementation of Convolutional Neural Networks with Fixed

FPGA Implementation of Convolutional Neural Networks with Fixed

Frontiers | Demonstrating Advantages of Neuromorphic Computation: A

Frontiers | Demonstrating Advantages of Neuromorphic Computation: A