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| | [AI summary] This article explains how to train a simple neural network using Numpy in Python without relying on frameworks like TensorFlow or PyTorch, focusing on the implementation of ReLU activation, weight initialization, and gradient descent for optimization.
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| | [AI summary] The article explains the process of building a neural network from scratch in Rust, covering forward and backward propagation, matrix operations, and code implementation.
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| | A blog for my thoughts. Mostly philosophy, math, and programming.
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| This the thirdpart of the Recurrent Neural Network Tutorial.