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.

Start Using MATLAB for Deep Learning

Try it now: Watch a deep learning demonstration, explore an interactive 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. This demo uses AlexNet, a pretrained deep convolutional neural network that has been trained on over a million images.

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Deep Learning with MATLAB: 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.

Take the Free, Hands-On Course

MATLAB for Deep Learning Onramp

This hands-on, two-hour course is an introduction to practical deep learning methods for image recognition.

FREE

Learn to Use MATLAB for Deep Learning in 2 Hours

Get a hands-on introduction to practical deep learning methods for image recognition. Topics include convolutional neural networks, using pre-trained networks, and transfer learning.

Launch Deep Learning Onramp