Quantization Aware Training

arXiv:1812 08301v1 [cs CV] 20 Dec 2018

arXiv:1812 08301v1 [cs CV] 20 Dec 2018

Distiller: Distiller 是 Intel 开源的一个用于神经网络压缩的 Python 包

Distiller: Distiller 是 Intel 开源的一个用于神经网络压缩的 Python 包

Why you should use post-training integer quantization

Why you should use post-training integer quantization

TensorFlow Lite 采坑记(一):模型转换- 神评网

TensorFlow Lite 采坑记(一):模型转换- 神评网

Differentiable Training for Hardware Efficient LightNNs

Differentiable Training for Hardware Efficient LightNNs

TensorFlow models on the Edge TPU | Coral

TensorFlow models on the Edge TPU | Coral

A Power-Aware Digital Multilayer Perceptron Accelerator with On-Chip

A Power-Aware Digital Multilayer Perceptron Accelerator with On-Chip

Machine Learning at Facebook: Understanding Inference at the Edge

Machine Learning at Facebook: Understanding Inference at the Edge

How does quantization-aware model training actually work? - Quora

How does quantization-aware model training actually work? - Quora

QUANTIZATION FOR RAPID DEPLOYMENT OF DEEP NEURAL NETWORKS

QUANTIZATION FOR RAPID DEPLOYMENT OF DEEP NEURAL NETWORKS

TensorRT Developer Guide :: Deep Learning SDK Documentation

TensorRT Developer Guide :: Deep Learning SDK Documentation

Compensated-DNN: Energy Efficient Low-Precision Deep Neural Networks

Compensated-DNN: Energy Efficient Low-Precision Deep Neural Networks

Full-stack Optimization for Accelerating CNNs Using Powers-of-Two

Full-stack Optimization for Accelerating CNNs Using Powers-of-Two

Lecture 9 - DNN Compression and Quantization | Deep Learning on Hardware  Accelerators

Lecture 9 - DNN Compression and Quantization | Deep Learning on Hardware Accelerators

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

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

tensorflow实现quantization-aware training(伪量化,fake quantization

tensorflow实现quantization-aware training(伪量化,fake quantization

A Quantized Training Method to Enhance Accuracy of ReRAM-based

A Quantized Training Method to Enhance Accuracy of ReRAM-based

Full-stack Optimization for Accelerating CNNs with FPGA Validation

Full-stack Optimization for Accelerating CNNs with FPGA Validation

tensorflow实现quantization-aware training(伪量化,fake quantization

tensorflow实现quantization-aware training(伪量化,fake quantization

Value-Aware Quantization for Training and Inference of Neural

Value-Aware Quantization for Training and Inference of Neural

Revisiting image ordinal estimation: how to deal with ordinal

Revisiting image ordinal estimation: how to deal with ordinal

Micromachines | Free Full-Text | Partial-Gated Memristor Crossbar

Micromachines | Free Full-Text | Partial-Gated Memristor Crossbar

Training Quantized Nets: A Deeper Understanding

Training Quantized Nets: A Deeper Understanding

Performance best practices | TensorFlow Lite | TensorFlow

Performance best practices | TensorFlow Lite | TensorFlow

TensorFlow Lite 采坑记(一):模型转换- 神评网

TensorFlow Lite 采坑记(一):模型转换- 神评网

The Next Wave in AI and Machine Learning: Adaptive AI at the Edge

The Next Wave in AI and Machine Learning: Adaptive AI at the Edge

Quantizing Deep Convolutional Networks for Efficient Inference

Quantizing Deep Convolutional Networks for Efficient Inference

Google's On-Device Speech Recognizer - Deep Speech - Mozilla Discourse

Google's On-Device Speech Recognizer - Deep Speech - Mozilla Discourse

Groove Templates and Quantizing in Logic Pro

Groove Templates and Quantizing in Logic Pro

Trained Uniform Quantization for Accurate and Efficient Neural

Trained Uniform Quantization for Accurate and Efficient Neural

Learning strategies for binary-weight neural networks  (a

Learning strategies for binary-weight neural networks (a

Accelerating Inference In TF-TRT User Guide :: Deep Learning

Accelerating Inference In TF-TRT User Guide :: Deep Learning

Here's why quantization matters for AI | Qualcomm

Here's why quantization matters for AI | Qualcomm

LOSS-AWARE WEIGHT QUANTIZATION OF DEEP NET- WORKS

LOSS-AWARE WEIGHT QUANTIZATION OF DEEP NET- WORKS

TensorFlow models on the Edge TPU | Coral

TensorFlow models on the Edge TPU | Coral

The Dynamics of Learning Vector Quantization, RUG, The Dynamics of

The Dynamics of Learning Vector Quantization, RUG, The Dynamics of

Tensorflow Tutorial, Part 2 – Getting Started

Tensorflow Tutorial, Part 2 – Getting Started

CELIA: A Device and Architecture Co-Design Framework for STT-MRAM

CELIA: A Device and Architecture Co-Design Framework for STT-MRAM

FINN-L: Library Extensions and Design Trade-off Analysis for

FINN-L: Library Extensions and Design Trade-off Analysis for

8-Bit Quantization and TensorFlow Lite: Speeding up mobile inference

8-Bit Quantization and TensorFlow Lite: Speeding up mobile inference

Quantizing Deep Convolutional Networks for Efficient Inference

Quantizing Deep Convolutional Networks for Efficient Inference

arXiv:1812 08301v1 [cs CV] 20 Dec 2018

arXiv:1812 08301v1 [cs CV] 20 Dec 2018

Large-scale parallel similarity search with Product Quantization for

Large-scale parallel similarity search with Product Quantization for

Inference on the edge - Towards Data Science

Inference on the edge - Towards Data Science

Using regularization with quantized graph in TensorFlow - Stack Overflow

Using regularization with quantized graph in TensorFlow - Stack Overflow

FINN-L: Library Extensions and Design Trade-off Analysis for

FINN-L: Library Extensions and Design Trade-off Analysis for

Highly Accurate Deep Learning Inference with 2-bit Precision

Highly Accurate Deep Learning Inference with 2-bit Precision

低比特卷积神经网络的量化研究介绍主讲人:朱锋  - ppt download

低比特卷积神经网络的量化研究介绍主讲人:朱锋 - ppt download

Seedbank:

Seedbank: "Post training optimization"

Compensated-DNN: Energy Efficient Low-Precision Deep Neural Networks

Compensated-DNN: Energy Efficient Low-Precision Deep Neural Networks

Training Quantized Nets: A Deeper Understanding

Training Quantized Nets: A Deeper Understanding

Machine Learning models — Compression and Quantization : Simplified

Machine Learning models — Compression and Quantization : Simplified

arXiv:1812 08301v1 [cs CV] 20 Dec 2018

arXiv:1812 08301v1 [cs CV] 20 Dec 2018

Comparison of quantization-aware training schemes | Download

Comparison of quantization-aware training schemes | Download

Learning Low Precision Deep Neural Networks through Regularization

Learning Low Precision Deep Neural Networks through Regularization

How Quantization Affects the Feel of a Drum Groove — Pro Audio Files

How Quantization Affects the Feel of a Drum Groove — Pro Audio Files

Quantizing In Logic: The Essentials : macProVideo com

Quantizing In Logic: The Essentials : macProVideo com

Xilinx Machine Learning Strategies with Deephi Tech

Xilinx Machine Learning Strategies with Deephi Tech

Exploring the Factor Effect of Learning Vector Quantization in Artificial

Exploring the Factor Effect of Learning Vector Quantization in Artificial

Fast image quality assessment via supervised iterative quantization

Fast image quality assessment via supervised iterative quantization

Scalable methods for 8-bit training of neural networks

Scalable methods for 8-bit training of neural networks

Google AI Blog: Accelerated Training and Inference with the

Google AI Blog: Accelerated Training and Inference with the

Micromachines | Free Full-Text | Partial-Gated Memristor Crossbar

Micromachines | Free Full-Text | Partial-Gated Memristor Crossbar

The Dynamics of Learning Vector Quantization, RUG, The Dynamics of

The Dynamics of Learning Vector Quantization, RUG, The Dynamics of

The future of AI is in mobile & IoT devices(Part I) – mc ai

The future of AI is in mobile & IoT devices(Part I) – mc ai

Efficient Deep Learning in Network Compression and Acceleration

Efficient Deep Learning in Network Compression and Acceleration

Quantizing deep convolutional networks for efficient inference: A

Quantizing deep convolutional networks for efficient inference: A

The Importance of Encoding Versus Training with Sparse Coding and

The Importance of Encoding Versus Training with Sparse Coding and

論文読み】Quantization and Training of Neural Networks for Efficient

論文読み】Quantization and Training of Neural Networks for Efficient

arXiv:1806 08342v1 [cs LG] 21 Jun 2018

arXiv:1806 08342v1 [cs LG] 21 Jun 2018

Using FPGAs to Accelerate Neural Network Inference

Using FPGAs to Accelerate Neural Network Inference

new unet paper for instance cell segementation | Kaggle

new unet paper for instance cell segementation | Kaggle

Edge TPU Accelaratorの動作を少しでも高速化したかったのでMobileNetv2

Edge TPU Accelaratorの動作を少しでも高速化したかったのでMobileNetv2

Inference on the edge - Towards Data Science

Inference on the edge - Towards Data Science

Quantization Mimic: Towards Very Tiny CNN for Object Detection

Quantization Mimic: Towards Very Tiny CNN for Object Detection

Faster Neural Networks Straight from JPEG | Uber Engineering Blog

Faster Neural Networks Straight from JPEG | Uber Engineering Blog

PDF] Low-bit quantization and quantization-aware training for small

PDF] Low-bit quantization and quantization-aware training for small

Here's why quantization matters for AI | Qualcomm

Here's why quantization matters for AI | Qualcomm

Accurate and Efficient 2-bit Quantized Neural Networks

Accurate and Efficient 2-bit Quantized Neural Networks