Deep Learning withMATLABCoder
Generate C/C++ code for deep learning neural networks (requires Deep Learning Toolbox™)
Deep learning is a branch of machine learning that teaches computers to do what comes naturally to humans: learn from experience. The learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. Deep learning uses convolutional neural networks (CNNs) to learn useful representations of data directly from images.
You can useMATLAB®Coder™with Deep Learning Toolbox to generate C++ code from a trained CNN. 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 CNN that does not depend on any third-party libraries.
Categories
- Deep Learning Code Generation Fundamentals
Functions, objects, and workflows that you can use to generate code for deep learning networks - Image Classification and Segmentation Applications
为深入学习网络生成代码s that perform image classification and segmentation - Object Detection Applications
为深入学习网络生成代码s that perform object detection - Time Series Classification and Forecasting Applications
为深入学习网络生成代码s that perform time series classification and forecasting - TensorFlow Lite Applications
为深入学习网络生成代码s that perform inference using TFLite library - Network Compression Applications
Compress a deep neural network by performing quantization, learnables compression, or pruning