Deep learning is a sub-set of a machine learning in which the algorithms inspired by neural networks and human brain learn from the data.
With just a few lines of MATLAB code, you can apply deep learning techniques to your work whether you’re designing algorithms, preparing and labeling data, or generating code and deploying to embedded systems
With MATLAB, you can:
We will show you three approaches to train a deep learning network:
Semantic segmentation, object detection, and image recognition. Computer vision applications integrated with deep learning provide advanced algorithms with deep learning accuracy. MATLAB® provides an environment to design, create, and integrate deep learning models with computer vision applications
You can easily get started with specialized functionality for computer vision such as:
Prepare and Label Image, Time-Series, and Text Data
MATLAB significantly reduces the time required to preprocess and label data sets for audio, video image, and text data. Synchronize disparate time series, replace outliers with interpolated values, deblur images, and filter noisy signals. Use interactive apps to label, crop, and identify important features, and built-in algorithms to help automate the process of labeling.