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Implementing a Neural Network in Rust #9

Closed vaktibabat closed 5 days ago

vaktibabat commented 1 month ago

Title: Implementing a Neural Network in Rust

Description:

Neural Networks are one of the most popular models in Machine Learning, and are the basis for a lot of popular AI applications, such as Computer Vision (CV), Natural Language Processing (NLP), and more. In this presentation, I show the math behind Neural Nets, how to train them, and how I implemented one in Rust from scratch to recognize digits in images. The presentation is based on a post I wrote: https://vaktibabat.github.io/posts/Rust_WASM_Digit_Recognition_1/

Length:

40 minutes

On-line or in-person?

In-person

Date?

23/06/2024

Who are you?

I am a third-year CS student at the Open University. Other than that, I am very interested in cybersecurity, reverse engineering, Malware Analysis, AI, and Rust (for about 6 months). I run a blog here. Linkedin Account: https://www.linkedin.com/in/yoray-herzberg-b8155621b/

Thanks, Yoray Herzberg :)

vaktibabat commented 3 weeks ago

@szabgab Are there any updates?

szabgab commented 2 weeks ago

Sorry for the delay. This sounds good, but can you shorten the presentation to be about 20 minutes? It would be better to give 20 min now and 20 min at another time.

vaktibabat commented 2 weeks ago

Hi, yes, I can shorten it to be 20min.

szabgab commented 2 weeks ago

Excellent, so this will be one of the presentations.

szabgab commented 5 days ago

Done on 2024.06.23 Thank you