Hi! Thanks for checking out my tutorial where I walk you through the process of coding a convolutional neural network in java from scratch. After building a network for a university assignment, I decided to create a tutorial to (hopefully) help others do the same and improve my own understanding of neural networks.
To run this code, please download the CSV mnist data and replace the filepath variables in the main function to match your CSV directory.
Link to the first video in the series on youtube: https://youtu.be/3MMonOWGe0M
My github repository: https://github.com/evarae/CNN_Tutorial
CSV MNIST Download: https://pjreddie.com/projects/mnist-in-csv/
3Blue1Brown - Neural Networks - https://youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
Giuseppe Pio Cannata - “Backpropagation in Fully Convolutional Networks (FCNs)” - https://towardsdatascience.com/backpropagation-in-fully-convolutional-networks-fcns-1a13b75fb56a
Sumit Saha - “A Comprehensive Guide to Convolutional Neural Networks — the ELI5 way” - https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53
Pavithra Solai - “Convolutions and Backpropagations” - https://pavisj.medium.com/convolutions-and-backpropagations-46026a8f5d2c
Paul-Louis Pröve - “An Introduction to different Types of Convolutions in Deep Learning” - https://towardsdatascience.com/types-of-convolutions-in-deep-learning-717013397f4d