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odsc.com
| | www.su.org
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| | Explore Singularity's curated list of global experts specializing in exponential technologies, leadership, and innovation. Book leading voices from our Speakers Bureau for your events to inspire, educate, and drive transformation.
| | codeincomplete.com
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| | Personal Website for Jake Gordon
| | www.antler.co
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| | Antler presents the first comprehensive map of the Generative AIlandscape available to everyone.
| | matt.might.net
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| [AI summary] This text explains how a single perceptron can learn basic Boolean functions like AND, OR, and NOT, but fails to learn the non-linearly separable XOR function. This limitation led to the development of modern artificial neural networks (ANNs). The transition from single perceptrons to ANNs involves three key changes: 1) Adding multiple layers of perceptrons to create Multilayer Perceptron (MLP) networks, enabling modeling of complex non-linear relationships. 2) Introducing non-linear activation functions like sigmoid, tanh, and ReLU to allow networks to learn non-linear functions. 3) Implementing backpropagation and gradient descent algorithms for efficient training of multilayer networks. These changes allow ANNs to overcome the limitations of ...