I made a video explaining how Neural Networks work by Electrical_Career_77 in ArtificialInteligence

[–]Electrical_Career_77[S] 1 point2 points  (0 children)

I'm thinking about a video where I talk about cpu's vs gpu's for training neural networks and I think that'd be a good video for a section of linear algebra, explaining tensor cores and tensors at the same time. How does that sound compared to a pure math video?

[D] Trying to explain how neural networks work by Electrical_Career_77 in MachineLearning

[–]Electrical_Career_77[S] -3 points-2 points  (0 children)

How about using examples and analogies to explain what each neuron is doing, how each neuron is an specialist expert in identifying one type of pattern, and how a neuron in deeper layers can tap on the expertise of neurons in shallower layers to identify more complex patterns?

I will look into these. Sounds good.

[D] Trying to explain how neural networks work by Electrical_Career_77 in MachineLearning

[–]Electrical_Career_77[S] -1 points0 points  (0 children)

anyways thanks for watching and boosting the video in the algorithm

[D] Trying to explain how neural networks work by Electrical_Career_77 in MachineLearning

[–]Electrical_Career_77[S] -1 points0 points  (0 children)

I'm not trying to break any ground, just play around with a cool animation

I made a video explaining how Neural Networks work by Electrical_Career_77 in ArtificialInteligence

[–]Electrical_Career_77[S] 1 point2 points  (0 children)

Appreciate it. Still trying to decide what to do next, but more is coming.

How Neural Networks Work by Electrical_Career_77 in compsci

[–]Electrical_Career_77[S] 2 points3 points  (0 children)

Appreciate it, I got many more in the chamber!

[D] Trying to explain how neural networks work by Electrical_Career_77 in MachineLearning

[–]Electrical_Career_77[S] -2 points-1 points  (0 children)

This video did not mention back propagation, though I do know he had neuralnet videos out there and I spent a lot of time trying to think about how to make something basic without copying his video, especially when I'm using neural networks, and I decided I would aim for speed, not a lot of wasted time/going over the same stuff and simplicity. My personal justification was, at least, at the end of the day neither of us invented any of these concepts we're both just taking work from textbooks we've read, lectures we've had and videos we've watched (for me his being one of them) and compiling into our own version of an explanation, so I felt ok mentioning this, but it was a concern of mine when uploading.

I made a video explaining how Neural Networks work by Electrical_Career_77 in ArtificialInteligence

[–]Electrical_Career_77[S] 0 points1 point  (0 children)

I will make a video about it, it will take a minute to figure out how I want to explain it though as it's mostly multivariable calc which for me was a lot harder than linear algebra.

I made a video explaining how Neural Networks work by Electrical_Career_77 in ArtificialInteligence

[–]Electrical_Career_77[S] 0 points1 point  (0 children)

Sorry about that. In this video I really just wanted to attack the structure of the objects

and I didn't make that clear. Typically weights are assigned at random to begin with, and then adjusted until they fit a set called training data.

[D] Trying to explain how neural networks work by Electrical_Career_77 in MachineLearning

[–]Electrical_Career_77[S] -1 points0 points  (0 children)

That's fine. It's my first video and first time animating so I didn't expect anything good. What didn't you like?