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Cutting-edge architectures that mirror the complexity and adaptability of the human brain
import torch
import torch.nn as nn
class AdvancedAIModel(nn.Module):
def __init__(self, input_size: int, hidden_size: int, output_size: int):
super().__init__()
self.network = nn.Sequential(
nn.Linear(input_size, hidden_size),
nn.ReLU(),
nn.Dropout(0.2),
nn.Linear(hidden_size, hidden_size // 2),
nn.ReLU(),
nn.Linear(hidden_size // 2, output_size),
nn.Softmax(dim=1)
)
def forward(self, x: torch.Tensor) -> torch.Tensor:
return self.network(x)Build the Future with Us
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