IntroductionIn recent years, the field of artificial intelligence and machine learning has made tremendous strides, with the development of neural networks playing a key role in this progress. These networks,…
IntroductionOptimization is an inherent human behavior that drives societies to improve their surroundings. Design problems are widespread across various fields, such as engineering, pharmaceuticals, software development, and more. These problems…
IntroductionTraining your machine learning model with the data you have is not enough. You also have to evaluate it to understand if it’s going to perform well in the real…
IntroductionOrthonormal vectors are a set of vectors that are both orthogonal (perpendicular) to each other and have a unit length (norm) of 1. In other words, the dot product of…
IntroductionAdversarial Machine Learning (AML) has recently captured the attention of Machine Learning and AI researchers. Why? In recent years, the development of deep learning (DL) has significantly improved the capabilities…
IntroductionMachine Learning has made inroads into many industries such as finance, healthcare, retail, autonomous driving, transportation and others . Machine Learning gives the computers the capability to learn without being…
IntroductionThe Adam optimizer is an algorithm used in deep learning that helps improve the accuracy of neural networks by adjusting the model’s learnable parameters. It was first introduced in 2014…
IntroductionVertex AI is a cloud-based machine learning platform developed by Google Cloud that provides an end-to-end workflow for building, training, and deploying machine learning models. It supports various types of…
IntroductionWhile the world of loss functions in deep learning can be a bit confusing at times, there is one loss function that serves as the entry-level access point for most…
IntroductionMost of the time in machine learning and deep learning we are attempting to create a computational model that can describe something about a dataset it’s given. Data which we…