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matt.might.net | ||
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adl1995.github.io
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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. | |
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ujjwalkarn.me
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| | | | | An Artificial Neural Network (ANN) is acomputational modelthat is inspired by the way biological neuralnetworks inthe human brain process information. Artificial Neural Networks have generated a lot ofexcitement in Machine Learning research and industry, thanks to many breakthrough results in speech recognition, computer vision and text processing. In this blog post we will try to... | |
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vankessel.io
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| | | | | A blog for my thoughts. Mostly philosophy, math, and programming. | |
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www.3blue1brown.com
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| | | An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks. | ||