This Matlab Tutorial shows how to create an object recognition neural network in Matlab using the Matlab Neural Network Toolbox. Image recognition with Convolution Neural Networks is a powerful and surprisingly easy. We discuss how CNNs work, as well as describe the pitfalls of using supervised machine learning for problems like this. By the end of this tutorial you should be able to make your own convolutional neural network in Matlab. This approach forms the basis for new applications in computer vision like self-driving cars, and it is very important to understand these techniques in the future.
Full Matlab Machine Learning Playlist:
https://www.youtube.com/watch?v=l69Ln_Pjb5c&list=PLkKnsrDrZjAQ7lhnd1yzn1xFa4fS7BETw
Additional Sources:
Git Hub Repo: https://github.com/codinglikemad/Matlab-Example-CNN
Mathwork's Matlab CNN tutorial which uses the same data set and some structure as this tutorial: https://www.mathworks.com/help/deeplearning/ug/create-simple-deep-learning-network-for-classification.html
[1] - https://towardsdatascience.com/translational-invariance-vs-translational-equivariance-f9fbc8fca63a
https://flic.kr/p/91xysj by rnee_mcgurk is used and modified as allowed under CC BY 2.0, https://creativecommons.org/licenses/by/2.0/
https://flic.kr/p/sKpdn by Aapo Haapanen is used and modified as allowed under CC BY 2.0, https://creativecommons.org/licenses/by/2.0/
https://flic.kr/p/5W8eeP by fdecomite is used and modified as allowed under CC BY 2.0, https://creativecommons.org/licenses/by/2.0/
