Machine learning mechanisms

16 videos about machine learning mechanisms that people linked on Reddit, from the AI, Statistics and Mathematics shelves.

Also see AI, Statistics, Mathematics

Format Length Approach Sort 16 entries

52 min More Than Image Generators: A Science of Problem-Solving using Probability | Diffusion ModelsDepth First

There is also a follow-up video: More Than Image Generators: A Science of Problem-Solving using Probability | Diffusion Models

Mentioned in r/StableDiffusion

17 min Information Entropy: The Math Behind SurpriseSynapticByte

…deep dive into how we measure "surprise" and why it connects so seamlessly to the tech we use every day. I'd love to hear your thoughts about the video!

Posted to r/visualizedmath

24 min The Breakthrough Behind Modern AI Image Generators | Diffusion Models Part 1Depth First

Posted to r/StableDiffusion: The best tutorial on Diffusion I have seen so far

6 h 52 min TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners TutorialfreeCodeCamp.org

4JOcdU872GhiYWf6jwrk_SNhz9 Applied ML (22 vids): Tensorflow 2.0 (7 hrs long video):

Mentioned in r/learnprogramming

33 min Diffusion Models | Paper Explanation | Math ExplainedOutlier

Hi, thank you for your video. I had a hard time figuring out the equations for q's closed form, so I though I might share it here: At 13:11, you go from q(x_t, x_{t-1}) = sqrt(a_t) x_{t-1} + sqrt(1 - a_t) epsilon to q(x_t, x_{t-2}) = sqrt(a_t a_{t-1}) x_{t-2} + sqrt(1 - a_t a_{t-1}) epsilon If you substitute x_{

Mentioned in r/MachineLearning

Playlist Machine Learning — sentdexsentdex

Machine learning sentdex(72 vids):

Mentioned in r/learnprogramming

Playlist Neural Networks for Machine Learning — Geoffrey HintonGeoffrey Hinton

Neural networks for machine learning (78 vids): (geoffry hinton-wrote backpropagation algorithm)

Mentioned in r/learnprogramming

1 h 4 min [EEML'24] Sander Dieleman - Generative modelling through iterative refinementEEML Community

Sander Dieleman's blogs and videos are great too. Blog: I remember finding this video being very informative when it came out: Sander has a couple of blogs on text diffusion as well.

Mentioned in r/MachineLearning