InfoWorld

Gradient descent in Java

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...
GitHub

Calculus-for-Machine-Learning-and-Data-Science

This course is part of the Mathematics for Machine Learning and Data Science Specialization by DeepLearning.AI. After completing this course, learners will be able to: Analytically optimize different ...
GitHub

Math for ML/AI roadmap

Calculus I - Calculus I forms the foundation for understanding changes and motion in machine learning models. It introduces key concepts like limits, which help understand how functions behave as they ...
Scientific Research Publishing

Vanishing Gradients in an Artificial Deep Neural Network: The Impact of Activation Functions and Optimization Techniques ()

Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...
C&EN

Meta-Generalized Gradient Approximations with a Dielectric Function Model in the Time-Dependent Density Functional Theory for Optical Properties of Solid Materials

Department of Physics and Engineering Physics, Tulane University, New Orleans, Louisiana 70118, United States ...