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blog.otoro.net | ||
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www.paepper.com
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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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matthewearl.github.io
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kevinlynagh.com
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| | | | | [AI summary] The author discusses their experience developing a simple neural network for sensor data processing on a microcontroller, highlighting challenges with quantization and inference optimization. | |
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www.v7labs.com
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| | | A neural network activation function is a function that is applied to the output of a neuron. Learn about different types of activation functions and how they work. | ||
