The video is a neural network simulation that trains with digits of 28x28 all the network to predict the correct outputs.
We take the digit images from the dataset MNIST and store them in an arrray. Then we will update the neural network and train it. It will train the biases and weights. All the neurons have biases. Activation function: Sigmoid
Architecture: 784x20x20x10
For getting all the source code and use the simulator support me in the tier Programming Source Code in Patreon:
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