Essam WisamFollowTowards Data Science--ListenShareLately, I have been building a package to address class imbalance in Julia called Imbalance.jl. It took me a lot of effort in terms of readi… Read More

Before diving into the various types of loss functions utilized in deep learning, it’s essential to understand the fundamental question of why we even need loss functions in the first… Read More

Essam WisamFollowTowards Data Science--ListenShareLately, I have been building a package to address class imbalance in Julia called Imbalance.jl. It took me a lot of effort in terms of readi… Read More

In today's rapidly evolving industrial landscape, where competition is fierce and consumer demands are ever-changing, the art of manufacturing has transformed into a science of precision. Am… Read More

Welcome to the fascinating world of Machine Learning, where algorithms learn from data and make intelligent decisions. In this exciting realm, one key concept that plays a crucial role in tr… Read More

For binary classification issues, squared hinge loss is an alternative to cross-entropy that can be used as a loss function. While it can be used with other types of models, Support Vecto… Read More

A loss function, also known as a cost function or objective function, is a mathematical function that measures the discrepancy between the actual output and the expected output of a machine… Read More

Architecting AI: The Building Blocks of Backpropagation Techniques and Models Artificial intelligence (AI) has come a long way since its inception, with machine learning and deep learning mo… Read More

Multilayer perceptron (MLP) is a type of artificial neural network (ANN) that is widely used in machine learning and artificial intelligence applications. Unlocking the Power of Multila… Read More

Probably everyone here knows what goes on during the training of a deep-learning neural network. However, allow me to quickly refresh your memory. To get the best performance out of our deep… Read More

Introduction to Keras Metrics We need certain functions known as Keras’ metrics to judge and measure the model performance we created in Keras. Loss functions and metric functions are… Read More

Machine learning Interview Questions Machine learning Interview Questions… Read More

Every Machine Learning algorithm (Model) learns by the process of optimizing the loss functions. The loss function is a method of evaluating how accurate the given prediction is made. If pr… Read More

Introduction to torch.nn Module The basic idea behind developing the PyTorch framework is to develop a neural network, train, and build the model. PyTorch has two main features as a computa… Read More

Machine Learning Assignment and Homework urgent Help 24/7 for various students Online with full explanation and revisions by PhD experts and quality solutions Machine Learning is the inte… Read More