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Optimizer - synonyms, pronunciation, definition

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optimizer

What it means: optimizer Add

An optimizer is a tool or process designed to improve the efficiency or performance of a system, process, or code. In the realm of computer science, an optimizer often refers to a component of a compiler that enhances the code to run faster or consume less memory. These components analyze the code and apply various transformations to achieve this goal. Optimizers can also be found in other fields, such as mathematics and engineering, where they are used to find the best possible solution to a problem given certain constraints. The objective of an optimizer is to maximize a desired outcome or minimize an undesirable outcome. Optimizers typically use algorithms to intelligently search for the optimal solution, adapting their approach based on feedback received during the search. They play a crucial role in many applications, from improving website loading speeds to enhancing the performance of complex algorithms.

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Examples: optimizer Add

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The strategy optimizer offers numerous sortable data fields.

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But if the best optimizers are overfitting.

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Not always and not all people are thoughtless optimizers.

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A new portable optimizer C compiler is self-compiled and may be released this year.

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Effortlessly polish up snapshots with Photo Optimizer 6.

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And some optimizers like AdaGrad and RMSProp that help with regularizing a neural network.

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But if better optimizers overfit.

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Smart modules are a type of solar panel that has a power optimizer embedded into the solar module at the time of manufacturing.

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Query rewriting may be rule based or optimizer based.

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OpenMx consists of an R library of functions and optimizers supporting the rapid and flexible implementation and estimation of SEM models.

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The PSO parameters can also be tuned by using another overlaying optimizer, a concept known as meta-optimization, or even fine-tuned during the optimization, e.g., by means of fuzzy logic.

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This is especially true with neural networks, whose optimizers have enough trouble navigating the error space without dozens of empty dimensions.

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Looking into the source code of Keras, the SGD optimizer takes decay and lr arguments and update the learning rate by a decreasing factor in each epoch.

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The primary challenge we faced in implementing the Dynamic Optimizer framework in production was retrofitting our parallel encoding pipeline to process significantly more encode units.

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Our next step was productizing a shot-based encoding framework, called Dynamic Optimizer, resulting in more granular optimizations within a video stream.

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Scientific passive solar building design with quantitative cost benefit product optimization is not easy for a novice.

Words in alphabetical order: optimizer