AiAge will provide readers with articles related to artificial intelligence and deep learning. AiAge will discuss and explains AI and DL concepts and make a clear explanation of interesting topics giving you the basis for starting in these fields.
This tutorial discusses how to use the genetic algorithm (GA) for reducing the feature vector extracted from the Fruits360 dataset in Python mainly using NumPy and Sklearn.
Introduction to Federated Learning - KDnuggets : Federated learning means enabling on-device training, model personalization, and more. Read more about it in this article.
Optimizing the Levenshtein Distance for Measuring Text Similarity - KDnuggets : For speeding up the calculation of the Levenshtein distance, this tutorial works on calculating using a vector rather than a matrix, which saves a lot of time. We’ll be coding in Java for this implementation.
Evaluating Deep Learning Models: The Confusion Matrix, Accuracy, Precision, and Recall - KDnuggets : This tutorial discusses the confusion matrix, and how the precision, recall and accuracy are calculated, and how they relate to evaluating deep learning models.
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