MATLAB makes deep learning easy. With tools and functions for managing large data sets, MATLAB also offers specialized toolboxes for working with machine learning, neural networks, computer vision, and automated driving.
With just a few lines of code, MATLAB lets you do deep learning without being an expert. Get started quickly, create and visualize models, and deploy models to servers and embedded devices.
Teams are successful using MATLAB for deep learning because it lets you:
Create and Visualize Models with Just a Few Lines of Code.
MATLAB lets you build deep learning models with minimal code. With MATLAB, you can quickly import pretrained models and visualize and debug intermediate results as you adjust training parameters.
Perform Deep Learning Without Being an Expert.
You can use MATLAB to learn and gain expertise in the area of deep learning. Most of us have never taken a course in deep learning. We have to learn on the job. MATLAB makes learning about this field practical and accessible. In addition, MATLAB enables domain experts to do deep learning – instead of handing the task over to data scientists who may not know your industry or application.
Automate Ground Truth Labeling of Images and Video.
MATLAB enables users to interactively label objects within images and can automate ground truth labeling within videos for training and testing deep learning models. This interactive and automated approach can lead to better results in less time.
Integrate Deep Learning in a Single Workflow.
MATLAB can unify multiple domains in a single workflow. With MATLAB, you can do your thinking and programming in one environment. It offers tools and functions for deep learning, and also for a range of domains that feed into deep learning algorithms, such as signal processing, computer vision, and data analytics.
With MATLAB, you can integrate results into your existing applications. MATLAB automates deploying your deep learning models on enterprise systems, clusters, clouds, and embedded devices.