Momentum

Why Momentum Really Works

Distill

Here’s a popular story about momentum [1, 2, 3] : gradient descent is a man walking down a hill. He follows the steepest path downwards; his progress is slow, but steady. Momentum is a heavy ball rol...

Why 0.9? Towards Better Momentum Strategies in Deep Learning.

Towards Data Science

Momentum is a widely-used strategy for accelerating the convergence of gradient-based optimization techniques. Momentum was designed to speed up learning in directions of low curvature, without…

An Intuitive and Visual Demonstration of Momentum in Machine Learning

Daily Dose of Data Science

Speedup machine learning model training with little effort.

Momentum: A simple, yet efficient optimizing technique

Analytics Vidhya

What are gradient descent, moving average and how can they be applied to optimize Neural Networks? How is Momentum better than gradient Descent?

Why to Optimize with Momentum

Analytics Vidhya

Momentum optimiser and its advantages over Gradient Descent

Quantifying Political Momentum with Data

Towards Data Science

Political commentators get paid to talk about the current political landscape every day, and while watching these talking heads do their thing on TV, I always hear the words “Political Momentum” over…...

Algorithmic Momentum Trading Strategy

Analytics Vidhya

Infusing Big Data + Machine Learning & Technical Indicators for a Robust Algorithmic Momentum Trading Strategy Big data is completely revolutionizing how the stock markets across the world are…

Regaining Momentum with In-Person Meetups

R-bloggers

The R Consortium caught up with Michael Schulte-Mecklenbeck of the BernR User Group to talk about the challenges of organizing an R User Group during the pandemic. The group has... The post Regaining ...

Gradient Descent With Momentum from Scratch

Machine Learning Mastery

Last Updated on October 12, 2021 Gradient descent is an optimization algorithm that follows the negative gradient of an objective function in order to locate the minimum of the function. A problem wit...

The Generative Audio Momentum

TheSequence

Next Week in The Sequence: Edge 303: Our series about new methods in generative AI continues with an exploration of different retrieval-augmented foundation model techniques. We discuss Meta AI’s famo...

👷‍♀️🧑🏻‍🎓👩‍💻👨🏻‍🏫 The MoE Momentum

TheSequence

📝 Editorial Massively large neural networks seem to be the pattern to follow these days in the deep learning space. The size and complexity of deep learning models are reaching unimaginable levels, p...

Learning Parameters, Part 2: Momentum-Based And Nesterov Accelerated Gradient Descent

Towards Data Science

In this post, we look at how the gentle-surface limitation of Gradient Descent can be overcome using the concept of momentum to some extent. Make sure you check out my blog post — Learning…