Tecnología para logística en Tijuana

# debajo de la interfaz
import torch
from torch import nn

class NeuralCore(nn.Module):
    def __init__(self):
        super().__init__()
        self.layers = nn.Sequential(
            nn.Linear(128, 256),
            nn.GELU(),
            nn.Linear(256, 64)
        )

    def forward(self, x):
        return self.layers(x)

model = NeuralCore()
inputs = torch.randn(1, 128)
with torch.inference_mode():
    output = model(inputs)

print(output.shape)
# estructura → procesamiento → interfaz