Image Classification with Deep Learning

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:    • How to Use Datastores   - Training Options - Documentation: bit.ly/47uyZv8 For more videos in the Making Vehicles and Robots See series click here:    • Making Vehicles and Robots See   Learn more: - Deep Learning Onramp: bit.ly/3PKBVfh - Computer Vision Onramp: bit.ly/3HpoDkp - Simulink Onramp: bit.ly/3BNzUJ9 -------------------------------------------------------------------------------------------------------- Get a free product trial: goo.gl/ZHFb5u Learn more about MATLAB: goo.gl/8QV7ZZ Learn more about Simulink: goo.gl/nqnbLe See what's new in MATLAB and Simulink: goo.gl/pgGtod © 2023 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

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