Clear explanation and Python codes to apply sentence transformers in sentence similarity tasks. Sentence transformers are a particular kind of deep learning model that are made for the purpose of converting sentences or other text into fixed-length numerical representations (embeddings) while accurately maintaining the text’s semantic meaning. …

During my academic journey, which spans six years encompassing my five years in bachelor and one year in master, I’ve had the privilege of encountering a diverse array of professors. It’s fascinating to note that each of these educators possesses their own distinctive approach to teaching. I am currently studying…

Ever wondered why there are so many activation functions for neural networks? This article will help you understand advantages and disadvantages of 5 different activation functions and explain why each of them has been proposed. If you enjoy the article, do not forget to clap and follow for more content about deep learning and data science. Justifications Non-linear activation functions have been proposed, because linear functions cannot learn non-linear features.

Comprehensive guide to learn Explainable AI. — I came across this phenomenon of “Explainable AI” and I decided to research to learn more about it. This article is the results of my several days’ findings to provide valuable information about the topic. Let’s start with this short, clean and precise definition by IBM: Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users…

Learn TensorBoard starting from how to set up to hyperparameter visualization. — TensorBoard is a web-based visualization tool provided by TensorFlow to visualize images, interactive graphs, hyperparameter tuning and many other elements of a machine learning or deep learning projects. As a data scientist or AI engineer, learning this tool will boost your skills in debugging and analyzing your models.