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Neural Networks in Scratch
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Implementation of Neural Network in Scratch programming language.
Model includes 2 hidden (Dense) layers, 8 neurons each, ReLU activation functions, 10 neurons in output (Dense) layer with Softmax activation function, Cross-entropy loss, calculating of an accuracy, and full backward pass including derivatives, and loss minimization using backpropagation and simple SGD optimizer.
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Model includes 2 hidden (Dense) layers, 8 neurons each, ReLU activation functions, 10 neurons in output (Dense) layer with Softmax activation function, Cross-entropy loss, calculating of an accuracy, and full backward pass including derivatives, and loss minimization using backpropagation and simple SGD optimizer.
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