Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...
Abstract: Recurrent neural networks (RNNs), particularly long short-term memory (LSTM) networks, have emerged as standard tools for tackling a wide range of time series applications, such as natural ...
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The most metal algorithm in computer science
Have a problem with many competing variables? Why not solve it with a computer algorithm based on cooling metal? Hosted by: Hank Green Huge thanks go to the following Patreon supporters for helping us ...
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