Archives for March, 2021 - Page 46
The term optimisation is not only mathematically important but also closely linked to any business. Everyone aims to optimise the way things are executed, processed, or delivered. For a given problem, there is always going to be the best way among the many possible solutions or approaches, and this is usually referred to as an…
The post Understanding Metaheuristics Algorithm In 800 words appeared first on Analytics India Magazine.
Facebook AI Research (FAIR) research on meta-learning has majorly classified into two types: First, methods that can learn representation for generalization. Second, methods that can optimize models. We have thoroughly discussed the type first in our previous article MBIRL. For this post, we are going to give a brief introduction to the second type. Last…
The post What Is Meta-Learning via Learned Losses (with Python Code) appeared first on Analytics India Magazine.
Model optimization plays a vital role in improving the performance of a Deep Neural Network (DNN). Techniques such as Batch Normalization and Weight Standardization perform Z-score standardization on activations or weights of the network. This article describes a novel optimization method called ‘Gradient Centralization (GC)’ which works directly on gradients instead. It was introduced by…
The post Hands-on Guide to Gradient Centralization appeared first on Analytics India Magazine.