ViewTube

Title: Optimizing the Discovery of Underlying Nonlinear Beam Dynamics Presenter: Liam A. Pocher Author(s): Liam A. Pocher, ...

In this episode of Deep Learning Talks, Puru revisits one of the most fundamental concepts in machine learning: Linear ...

There is one simple equation that appears everywhere in machine learning and modern AI: y = mx + c In this video, we trace how ...

THz Generation: PCA vs Nonlinear Crystal Question: We would like to generate and detect THz pulses by optical rectification and ...

Link to the paper: https://arxiv.org/abs/2504.04548.

This pendulum adaptive frequency oscillator experiment learns an external forcing frequency through its plastic frequency state, ...

In this episode of Deep Learning Talks, Puru explains the natural evolution from Linear Regression to Logistic Regression, ...

In this video, Parham Oveissi presents his paper, “Model-free Dynamic Mode Adaptive Control using Matrix RLS,” at an academic ...

Regressions so in a linear regression it so happens that the optimization to minimize those squ errors um with respect to changing ...

In this video, we take a deep dive into Activation Functions, the secret sauce that makes neural networks capable of learning ...

The point P lies on the curve with equation y = x^2 , so that its distance from the point A (10,2) is least. Determine the coordinates ...

Dean Hazineh (Harvard University); Zhujun Shi (Meta Reality Labs); Federico Capasso (Harvard University); Todd Zickler ...

... straight up just solve um turns out for a log likelihood function we don't have that so this is actually an optimization problem and ...

In this episode of Deep Learning Talks, we revisit one of the most foundational yet misunderstood models in machine learning, ...

And then you've got analytical methods uh and so this is a solved optimization. Essentially so if you have taken a regression class ...

Qualcomm IQ9 Series in Laser and Photonics Applications Del Mar Photonics, Inc. is a leading manufacturer and system ...