Mathematics with a distinct visual perspective. Linear algebra, calculus, neural networks, topology, and more.

I'll be the first to admit this is a little odd. The logo is a loose depiction of my right eye color. It has what's known as "sectoral heterochromia", meaning there are different colors in different sectors, which in my case looks like 3/4 blue and 1/4 brown.

Oct 5, 2017 · I’m using blue pixels to indicate a positive weight, and red pixels to indicate a negative weight, with the brightness of that pixel being some depiction of the weight’s value. What if we made the weights associated with almost all the pixels 0, except for some positive weights associated with these pixels in the region where we want to ...

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Apr 28, 2017 · The change d A dA d A would be the difference between the mystery function evaluated at 3.001 3.001 3.001 and evaluated at 3 3 3. Even though we don't know what that mystery function is, we do know something about this change, namely that this change divided by d x = 0.001 dx = 0.001 d x = 0.001 is approximately 3 2 3^2 3 2.

Chapter 3 Aug 7, 2016 Matrix multiplication as composition How to think about matrix multiplication visually as successively applying two different linear transformations. Chapter 4 Aug 8, 2016

Sep 15, 2016 · If you didn't have a solid grasp of the determinant, and why it relates to linear systems having non-zero solutions, an expression like this would feel completely out of the blue. Let's revisit the example from the start, with the matrix [3 1 0 2] \left[\begin{array}{c} 3 & 1\\ 0 & 2 \end{array}\right] [3 0 1 2 ].

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Oct 5, 2017 · Gradient descent, how neural networks learn An overview of gradient descent in the context of neural networks. . This is a method used widely throughout machine learning for optimizing how a computer performs on certain tas

Nov 17, 2022 · 3 B l u e 1 B r o w n Menu Lessons SoME Blog Extras. Store FAQ Contact About. Computer Science. But what ...