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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.
| | algobeans.com
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| | Modern smartphone apps allow you to recognize handwriting and convert them into typed words. We look at how we can train our own neural network algorithm to do this.
| | golb.hplar.ch
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| | [AI summary] The article describes the implementation of a neural network in Java and JavaScript for digit recognition using the MNIST dataset, covering forward and backpropagation processes.
| | 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.