@justdieblondie: #archlinux #neuralnetworks #c++

Racist Momoi   ༽ :

cool graphics bro but now you don't have enough vram to load the full model

sfaxien :

neural network

medo :

The connectivity density in this visualization is fascinating! It clearly shows the complex weight distribution between the hidden layers. Using ReLU as the activation function is a solid choice here to mitigate the vanishing gradient problem, especially with such a high number of interconnected neurons. The heat-mapped edges (the yellow/orange lines) really highlight which features the model is prioritizing. Is this a custom MLP (Multi-Layer Perceptron) architecture you're training, or part of a larger CNN back-end?

Dan 'of clan' B :

can you explain this to someone who has ZERO clue what it means but INSTANTLY fascinated by how it looks!

Deivixon Rangel :

creo que son servidores

misho9000 :

NeuralT? Custom software? Looks nice 👍

Susan Sutton :

It should be visualized in a 3D plane not 2d

me :

what does it do tho

Baldomero :

gasta más recursos graficando que procesando datos xdd

Alin :

I'm trying to find Loki 🤔

ABBAS :

such dense network.. omg

Wyclif Mboya :

How many hidden layers

月食 :

You code a IA?

Ƶillionaire :

Andres Aguilar :

No se dejen sorprender, esa cosa tiene como 4 capas nomás

KAFLAN ALIYEV :

Что это

EL_XGE0RGE :

simplemente hermoso

IAo0o0o0 :

para que la usan. ?

ЧУМА :

это визуализация алгоритма логики девушек?

Chrissy 2000 :

Thats The small Diagramm

Haris Raza :

neural network

LLIBY :

Jhonchy :

red neuronal de gemini

heat💗~ :

good graphic, however the real processes are mathematics and statistics

Veazy :

Is this an Ai?