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Step Function as a Neural Network Activation Function - Sefik Ilkin Serengil
| | www.v7labs.com
Activation Functions in Neural Networks [12 Types & Use Cases]
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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.
| | adl1995.github.io
An overview of activation functions used in neural networks
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| | [AI summary] The article explains various activation functions used in neural networks, their properties, and applications, including binary step, tanh, ReLU, and softmax functions.
| | blog.vstelt.dev
Writing a Neural Network from Scratch in Rust
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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.
| | www.analyticsvidhya.com
What is Recurrent Neural Networks (RNN)?
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| Explore RNNs: their unique architecture, working principles, BPTT, pros/cons, and Python implementation using Keras.