Gaussian Noise
@gaussian_noise_
cs, ml, konstnär; going from X0 to Xn
come to me, i will say all the pretty things you wanna hear <3
Log Day 19 : > Read about ANN and implemented basic Image Classifier MLP on Fashion-MNIST dataset from Hands on ML > Completed 'Intro to Machine Learning' Course from @kaggle > Started watching 'Neural Networks from Scratch' taught by @Sentdex
I won. now back to main quests again
Last few weeks have been pretty rough with sleep. started fixing myself and seeing some progress. so, not doing much screen time these days. first rule has been always, never kill yourself. to distract myself started with non-digital stuff, a book, which long awaited in shelf.…
UPDATE: msf-skynet now uses .msf-skynet.yml for config and adds a multiplexer command to route HTTP requests to Metasploit listeners via Host headers.
Wrote a small 3-minute blog on RNN It’s math-free so you can read it without losing a single brain cell, hehe :) Might just be the best 3 minutes of your day, I promise. Tried to include images to make it easier to read. Hope you like it — and if you do, drop a comment :)🙂
While learning RNN for this image classification project, I took some notes and later turned them into a blog. Thought I’d share it here too. It’s just an overview, no math heavy stuff, promise :)
Chapter - 4: HTTP Servers [COMPLETE] C-2 server multiplexer in GoLang. [Explanation for the nerds in comments below (mostly incorrect so I suggest not reading it)]
installing 300+ dependencies to save ~3ms. ive been installing dependencies for hrs and this didn't even worked :3
> be rustup > always be building
stormy got featured on @terminaltrove my second tool after mufetch to make it there! at this rate, they might need a separate section just for me /s terminaltrove.com/stormy
While learning RNN for this image classification project, I took some notes and later turned them into a blog. Thought I’d share it here too. It’s just an overview, no math heavy stuff, promise :)
Started Working on My next project, Image Caption Generator My objective from this project is to learn the concepts of a CNN and LSTM model and build a working model of Image caption generator by implementing CNN with LSTM. Thanks @kaggle for Dataset :)
wait, they let me in after adding more pls..
aaa, jus gimme back my atleast my old pfp... u slop twitter
aaa, jus gimme back my atleast my old pfp... u slop twitter
looks like I've been rate limited by pfp changing API