Deep Learning with Simulink

Extend deep learning workflows using Simulink

Implement deep learning functionality in Simulink^®models by using blocks from the Deep Neural Networks block library, included in the Deep Learning Toolbox™, or by using theDeep Learning Object Detectorblock from the Analysis & Enhancement block library included in the Computer Vision Toolbox™.

Deep learning functionality in Simulink usesMATLAB Functionblock that requires a supported compiler. For most platforms, a default C compiler is supplied with the MATLAB^®installation. When using C++ language, you must install a compatible C++ compiler. To see a list of supported compilers, openSupported and Compatible Compilers, click the tab that corresponds to your operating system, find theSimulink Product Familytable, and go to theFor Model Referencing, Accelerator mode, Rapid Accelerator mode, and MATLAB Function blockscolumn. If you have multiple MATLAB-supported compilers installed on your system, you can change the default compiler using themex -setupcommand. SeeChange Default Compiler.

Blocks

Image Classifier	Classify data using a trained deep learning neural network
Predict	预测使用训练有素的深度学习不反应ural network
Stateful Classify	Classify data using a trained deep learning recurrent neural network
Stateful Predict	Predict responses using a trained recurrent neural network
Deep Learning Object Detector	Detect objects using trained deep learning object detector

Topics

Images

Classify Images in Simulink Using GoogLeNet
This example shows how to classify an image in Simulink® using theImage Classifierblock.
Acceleration for Simulink Deep Learning Models
改善simulation speed with accelerator and rapid accelerator modes.
Lane and Vehicle Detection in Simulink Using Deep Learning
This example shows how to use deep convolutional neural networks inside a Simulink® model to perform lane and vehicle detection.
Classify ECG Signals in Simulink Using Deep Learning
This example shows how to use wavelet transforms and a deep learning network within a Simulink (R) model to classify ECG signals.
Classify Sequence of Images in Simulink with Imported TensorFlow Network
Import a pretrained TensorFlow™ network usingimportTensorFlowNetwork, and then use the Predict block for image classification in Simulink.

Sequences

Predict and Update Network State in Simulink
This example shows how to predict responses for a trained recurrent neural network in Simulink® by using theStateful Predictblock.
Classify and Update Network State in Simulink
This example shows how to classify data for a trained recurrent neural network in Simulink® by using theStateful Classifyblock.
语音命令识别模型万博1manbetx
Detect the presence of speech commands in audio using a Simulink model.
Time Series Prediction in Simulink Using Deep Learning Network
This example shows how to use an LSTM deep learning network inside a Simulink® model to predict the remaining useful life (RUL) of an engine.
Physical System Modeling Using LSTM Network in Simulink
This example shows how to create a reduced order model (ROM) to replace a Simscape component in a Simulink® model by training a long short-term memory (LSTM) neural network.

Reinforcement Learning

Create Simulink Environment and Train Agent
Train a controller using reinforcement learning with a plant modeled in Simulink as the training environment.
Train DDPG Agent for Adaptive Cruise Control
Train a reinforcement learning agent for an adaptive cruise control application.
Train DQN Agent for Lane Keeping Assist Using Parallel Computing
Train a reinforcement learning agent for a lane keeping assist application.
Train DDPG Agent for Path-Following Control
Train a reinforcement learning agent for a lane following application.

Code Generation

Deep Learning Code Generation from Simulink Applications
Generate C/C++ and GPU code for deployment on desktop or embedded targets

Featured Examples

Lane and Vehicle Detection in Simulink Using Deep Learning

Use deep convolutional neural networks inside a Simulink® model to perform lane and vehicle detection. This example takes the frames from a traffic video as an input, outputs two lane boundaries that correspond to the left and right lanes of the ego vehicle, and detects vehicles in the frame.

Open Script

Classify ECG Signals in Simulink Using Deep Learning

Use wavelet transforms and a deep learning network within a Simulink (R) model to classify ECG signals. This example uses the pretrained convolutional neural network from theClassify Time Series Using Wavelet Analysis and Deep Learningexample of the Wavelet Toolbox™ to classify ECG signals based on images from the CWT of the time series data. For information on training, see Classify Time Series Using Wavelet Analysis and Deep Learning (Wavelet Toolbox).

Open Script

Time Series Prediction in Simulink Using Deep Learning Network

Use an LSTM deep learning network inside a Simulink® model to predict the remaining useful life (RUL) of an engine. You include the network inside the Simulink model by using a Stateful Predict block, which predicts the RUL at every simulation step.

Open Live Script

Battery State of Charge Estimation in Simulink Using Deep Learning Network

Use a feedforward deep learning network inside a Simulink® model to predict the state of charge (SOC) of a battery. You include the network inside the Simulink model by using a Predict block, which predicts the SOC at every simulation step.

Open Live Script