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Evaluating Object Detection Models Using Mean Average Precision
In this article we will see see how precision and recall are used to calculate the Mean Average Precision (mAP).
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 Evaluating Deep Learning Models: The Confusion Matrix, Accuracy, Precision, and Recall
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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Working With The Lambda Layer in Keras
In this tutorial we'll cover how to use the Lambda layer in Keras to build, save, and load models which perform custom operations on your data.
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Optimizing the Levenshtein Distance for Measuring Text Similarity
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.
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A Guide to Preparing OpenCV for Android
This tutorial guides Android developers in preparing the popular library OpenCV for use. Using a step-by-step guide, the library will be imported into Android Studio and then can be used for performing any of the operations it supports, such as object detection, segmentation, tracking, and more.
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Breaking Privacy in Federated Learning
Despite the benefits of federated learning, there are still ways of breaching a user’s privacy, even without sharing private data. In this article, we’ll review some research papers that discuss how federated learning includes this vulnerability.
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Introduction to Federated Learning
Federated learning means enabling on-device training, model personalization, and more. Read more about it in this article.
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Feature Reduction using Genetic Algorithm with Python
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.
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 Artificial Neural Networks Optimization using Genetic Algorithm with Python
This tutorial explains the usage of the genetic algorithm for optimizing the network weights of an Artificial Neural Network for improved performance.
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 Artificial Neural Network Implementation using NumPy and Image Classification
This tutorial builds artificial neural network in Python using NumPy from scratch in order to do an image classification application for the Fruits360 dataset
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Evaluating Deep Learning Models: The Confusion Matrix, Accuracy, Precision, and Recall
Introduction to Federated Learning
Artificial Neural Networks Optimization using Genetic Algorithm with Python
Artificial Neural Network Implementation using NumPy and Image Classification