MATLAB for Deep Learning
Design, build, and visualize convolutional neural networks
With just a few lines of MATLAB® code, you can build deep learning models without having to be an expert. Explore how MATLAB can help you perform deep learning tasks.
- MATLAB is fast: Run deployed models up to 7x faster than TensorFlow and up to 4.5x faster than Caffe2.
- Easily access the latest models, including GoogLeNet, VGG-16, VGG-19, AlexNet, ResNet-50, ResNet-101, and Inception-v3.
- Use NVIDIA GPUs for your GPU programming: Accelerate training using multiple GPUs, the cloud, or clusters.
- Use functions and tools to visualize intermediate results and debug deep learning models.
- Automate ground-truth labeling using apps.
- Work with models from Caffe and TensorFlow-Keras.
Topics for Deep Learning
Start Using MATLAB for Deep Learning
Try it now: Watch a deep learning demonstration, explore an interactive example, follow along with a basic example, and take the free course.
Watch a
Demonstration
See how to use MATLAB, a simple webcam, and a deep neural network to identify objects in your surroundings.
Follow Along with an Example
Take the Free,
Hands-On Course
Go from basic tasks to more advanced maneuvers by walking through interactive examples and tutorials.
Get a Free Trial
30 days of exploration at your fingertips.
Have Questions?
Talk to a deep learning expert.
