Learn With Jay on MSNOpinion

Adam Optimizer Explained: Why Deep Learning Loves It?

Adam Optimizer Explained in Detail. Adam Optimizer is a technique that reduces the time taken to train a model in Deep ...
Learn With Jay on MSNOpinion

Deep learning optimization: Major optimizers simplified

In this video, we will understand all major Optimization in Deep Learning. We will see what is Optimization in Deep Learning ...
Scientific Research Publishing

Ruder, S. (2016) An Overview of Gradient Descent Optimization Algorithms. arXiv Preprint.

ABSTRACT: 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 ...
IEEE

Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-Max Optimization

Abstract: Gradient Descent Ascent (GDA) methods for min-max optimization problems typically produce oscillatory behavior that can lead to instability, e.g., in bilinear settings. To address this ...
Hacker

Extending Stochastic Gradient Optimization with ADAM

Gradient descent is a method to minimize an objective function F(θ) It’s like a “fitness tracker” for your model — it tells you how good or bad your model’’ predictions are. Gradient descent isn’t a ...
Scientific Research Publishing

Thrust Optimization of Flapping Wing via Gradient Descent Technologies ()

The current work aims at employing a gradient descent algorithm for optimizing the thrust of a flapping wing. An in-house solver has been employed, along with mesh movement methodologies to capture ...
Game Rant

Beginner Tips For Aliens: Dark Descent

Andrew is a science-fiction/adventure-horror writer from the UK and a graduate of Falmouth University currently working for both GameRant and DualShockers. At ...