Machine Learning
Research For Science

Welcome! My name is Tim Whitaker and Wits End is my personal website, a repository for my neural network research, and an outlet for digging deeper into artificial intelligence.

2020-01-02

Data Augmentation

A strategy used in machine learning to increase the diversity and amount of training data without actually collecting new data. It involves creating modified versions of existing data using techniques like rotation, scaling, flipping, cropping, and brightness or color adjustments.

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2020-01-02

Quantization

Quantization is used to reduce the precision of the weights and biases in a model in order to decrease computational requirements. It involves converting full-precision 32-bit weights into lower-precision formats. Typically 16-bit or 8-bit quantization is used, but research has shown promise in resource constrained enviroments for ternary and binary networks.

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2020-01-02

Weight Pruning

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2020-01-02

Learning Rate Schedules

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2020-01-02

Convolutions

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2020-01-01

Activation Functions

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