Pretrained Parameters Language:
This project demonstrates a fully-connected feedforward neural network trained to detect numbers in English and Persian. The NN is trained in C++ for faster performance.
You can access the C++ source code here.
Project's github:
https://github.com/manzik/Handwritten-Digit-Recognizer
You can click on a number below to load a sample handwritten digit:
Note: The number of neurons and connections in this demonstration is not representative of the actual neural network.
Number of neurons in each layer of the neural network: { 784, 512, 512, 10 }
This project demonstrates a fully-connected feedforward neural network trained to detect numbers in English and Persian. The NN is trained in C++ for faster performance.
You can access the C++ source code here.
Project's github:
https://github.com/manzik/Handwritten-Digit-Recognizer
You can click on a number below to load a sample handwritten digit:
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Note: The number of neurons and connections in this demonstration is not representative of the actual neural network.
Number of neurons in each layer of the neural network: { 784, 512, 512, 10 }