양자화

계층의 가중치, 편향 및 활성화를 정수 데이터형으로 스케일링한 낮은 정밀도로 양자화합니다.

계층의 가중치, 편향 및 활성화를 낮은 정밀도로 스케일링된 정수 데이터형으로 양자화하여 심층 신경망의 메모리 사용량과 계산 요구 사항을 감소시키려면 Deep Learning Toolbox™를 Deep Learning Toolbox Model Quantization Library 지원 패키지와 함께 사용하십시오. 그런 다음 양자화된 이러한 신경망에서 C/C++, CUDA^® 또는 HDL 코드를 생성할 수 있습니다.

함수

`dlquantizer`	Quantize a deep neural network to 8-bit scaled integer data types
`dlquantizationOptions`	Options for quantizing a trained deep neural network
`calibrate`	Simulate and collect ranges of a deep neural network
`validate`	Quantize and validate a deep neural network

앱

심층 신경망 양자화기

Quantize a deep neural network to 8-bit scaled integer data types

도움말 항목

딥러닝 양자화

Quantization of Deep Neural Networks
Understand effects of quantization and how to visualize dynamic ranges of network convolution layers.
Quantization Workflow Prerequisites
Products required for the quantization of deep learning networks.

GPU 타깃을 위한 양자화

Code Generation for Quantized Deep Learning Networks (GPU Coder)
Quantize and generate code for a pretrained convolutional neural network.
Quantize Residual Network Trained for Image Classification and Generate CUDA Code
This example shows how to quantize the learnable parameters in the convolution layers of a deep learning neural network that has residual connections and has been trained for image classification with CIFAR-10 data.
Quantize Object Detectors and Generate CUDA Code
This example shows how to generate CUDA® code for an SSD vehicle detector and a YOLO v2 vehicle detector that performs inference computations in 8-bit integers.

FPGA 타깃을 위한 양자화

Quantize Network for FPGA Deployment (Deep Learning HDL Toolbox)
This example shows how to quantize learnable parameters in the convolution layers of a neural network, and validate the quantized network.
Classify Images on an FPGA Using a Quantized DAG Network (Deep Learning HDL Toolbox)
In this example, you use Deep Learning HDL Toolbox™ to deploy a quantized deep convolutional neural network and classify an image.
Classify Images on FPGA by Using Quantized GoogLeNet Network (Deep Learning HDL Toolbox)
This example show how to use the Deep Learning HDL Toolbox™ to deploy a quantized GoogleNet network to classify an image.

CPU 타깃을 위한 양자화

Code Generation for Quantized Deep Learning Networks (MATLAB Coder)
Quantize and generate code for a pretrained convolutional neural network.
Code Generation for Quantized Deep Learning Network on Raspberry Pi (MATLAB Coder)
Generate code for deep learning network that performs inference computations in 8-bit integers.

양자화

함수

앱

도움말 항목

딥러닝 양자화

GPU 타깃을 위한 양자화

FPGA 타깃을 위한 양자화

CPU 타깃을 위한 양자화

추천 예제

Parameter Pruning and Quantization of Image Classification Network