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alexanderganderson.github.io
| | 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.
| | blog.vstelt.dev
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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.
| | 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.
| | sefiks.com
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| Heaviside step function is one of the most common activation function in neural networks. The functionproduces binary output. That is the reason why it alsocalled as binary step function. That's why, they are very useful for binary classification studies.