MATLAB | Image Classification with Deep Learning @MATLAB | Uploaded January 2024 | Updated October 2024, 1 week ago.
Learn the basics of classifying images through deep learning. First, gain an understanding of what image classification and deep learning are, then discover how you can implement this workflow in MATLAB®. Start by creating a datastore to access and process your image data, then use the Deep Network Designer app to design and train a neural network, and finally test the performance of the network on a new data set using a confusion chart. At the end, complete an exercise to use this neural network in Simulink®.

Download the files used in this video: bit.ly/3MO4dTq

Links mentioned in this video:
- How to Use Datastores - Video: youtu.be/E_uu4a1-KF8
- Training Options - Documentation: bit.ly/47uyZv8

For more videos in the Making Vehicles and Robots See series click here: youtube.com/playlist?list=PLn8PRpmsu08pMH5wexyjc_4ludkyYvhqo

Learn more:
- Deep Learning Onramp: bit.ly/3PKBVfh
- Computer Vision Onramp: bit.ly/3HpoDkp
- Simulink Onramp: bit.ly/3BNzUJ9
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