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Showing posts from February, 2023

Why Is Text Added To A Data Visualization Presentation?

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  Understanding – Get the “gist” of a document Visual representations also need explanations. The most effective way is to add crisp and informative text to the data visualization presentations. The use of text will help you to convey your information in a crisp manner. It will help you to highlight key terms and categorize visualisations by concept, importance, sentiments, etc. Some dashboards have options to create word clouds that enable you to categorise text and give the audience a clearer understanding of your information. You can also add information summarizing your presentation at the end of the charts or graphs.  Example –  The above screenshot shows a Tableau workbook with the option to add/edit the caption per the requirement. You can use the colors, change the font and size, and align as required.  Check how the addition of text made the representation more meaningful. Navigates through the Presentation  If you want your audience to get through ...

Deep Learning Project

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  Deep Learning Project  A Gentle Introduction to Siamese Neural Networks Architecture  What are Siamese Neural Networks? Siamese Neural Networks, or SNNs, is one of the most popular neural network architectures that use this strategy and can predict multiple classes from very little data. This ability has made Siamese neural networks very popular in real-world applications in security, face recognition, signature verification, and more. So how does the neural network architecture of Siamese networks make this possible? Siamese Neural Networks: An Overview A Siamese network consists of two or more identical subnetworks: neural networks with the same architecture, configuration, and weights. Even during training, parameter updates happen simultaneously for both neural networks with the same weights. The purpose of having identical subnetworks is to train the model based on a similarity function that measures how different the feature vectors of one image are from the othe...