Get Started with Deep Learning Using MATLAB
Perform four common deep learning tasks with MATLAB.
Deep Learning for Engineers (5 videos)
This video series addresses deep learning topics for engineers such as accessing data, training a network, using transfer learning, and incorporating your model into a larger design.
Deep Neural Networks (4 videos)
MATLAB makes it easy to create and modify deep neural networks. These tutorial videos outline how to use the Deep Network Designer app, a point-and-click tool that lets you interactively work with your deep neural networks.
Deep Learning for Computer Vision Specialization
In this course you will learn how to apply deep learning and computer vision to real-world projects.
Train a convolutional neural network (CNN) to identify handwritten digits.
MATLAB for Deep Learning Tutorial
This hands-on, two-hour tutorial is an introduction to practical deep learning methods for image recognition.
Create and modify deep neural networks for classification, regression, and object detection with image and sequence data.
Use MATLAB to perform essential automated driving tasks. Label ground truth data, detect lanes and objects, generate driving scenarios and modeling sensors, and visualize sensor data.
Signal Preprocessing and Feature Extraction for Data Analytics with MATLAB
Prepare time-series data for machine learning analysis. Topics include importing signals, removing outliers, and extracting features in time and frequency domains.
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