2:38Video length is 2:38 Deep Learning in 11 Lines of MATLAB Code See how to use MATLAB, a simple webcam, and a deep neural network to identify objects in your surroundings. This demo uses AlexNet, a pretrained deep convolutional neural network that has been trained on over a million im...
You can useMATLAB®Coder™with Deep Learning Toolbox to generate C++ code from a trained deep learning network. You can then deploy the generated code to an embedded platform that uses an Intel®or ARM®processor. You can also generate generic C or C++ code from a trained deep learnin...
Learn how machine learning tools in MATLAB can be used to solve regression, clustering, and classification problems.
To quickly get started deep learning, see Try Deep Learning in 10 Lines of MATLAB Code. Start Deep Learning Faster Using Transfer Learning Transfer learning is commonly used in deep learning applications. You can take a pretrained network and use it as a starting point to learn a new task. ...
On the configuration object, set DeepLearningConfig with targetlib as 'none'. Use the -config option of the codegen function to pass this code configuration object. The codegen function must determine the size, class, and complexity of MATLAB® function inputs. Use the -args option to ...
Deep Learning Prediction with NVIDIA TensorRT Library Code Generation for Deep Learning Networks by Using TensorRT Select a Web Site Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select:中国. ...
Authors: Michael Paluszek , Stephanie Thomas Utilizes real world examples in MATLAB for major applications of machine learning in big data Comes with complete working MATLAB source code Shows how to use MATLAB graphics and visualization tools for machine learning 75k Accesses This...
Models available in MATLAB: Note 1: Since R2024a, please use theimagePretrainedNetworkfunction instead and specify the pretrained model. For example, use the following code to access googlenet: [net, classes] = imagePretrainedNetwork("googlenet"); ...
使用Matlab语言编写联邦学习的相关代码。具体实现步骤如下: 3.1定义模型:使用Matlab中的深度学习工具箱定义适当的模型。可以选择常见的深度学习模型结构,如卷积神经网络(CNN)或循环神经网络(RNN)等。 3.2模型参数初始化:中央服务器在开始训练之前,需要初始化一个模型,可以使用Matlab提供的函数进行模型参数的随机初始化。
A toy example of Reinforcement Learning (matlab code) 如下图所示: 假设我们有一个agent,有三个状态S = {s1,s2,s3},有三个操作A = {a1,a2,a3},给定每个状态下进行不同操作的奖励 R(s,a),如何进行Q-Learning? 下面是我给出的一个matla实现:...