In this video I will show step by step how I made a deep neural network from scratch using pure Java. I show how to setup the structure of your code to be modular enough for a simple implementation, what function and variables are needed in each class and how to setup forward/backward propagation.
The source code for this video is available right here on my github: [ Ссылка ]
Also, for a good run down of the derivation and math required to make the forward and backward propagation happen go here: [ Ссылка ]

If you have any comments or question leave them in the comments down below. Also if you think I have messed up something please raise an issue on github or let me know!

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Have a great week! 👋

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