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"Innovation distinguishes between a leader and a follower" - Building tomorrow's technology today ✨
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# 🧠 Advanced Neural Network Architecture
import torch
import torch.nn as nn
import torch.nn.functional as F
class InnovativeNet(nn.Module):
"""
🚀 Next-gen neural network for cutting-edge AI solutions
"""
def __init__(self, input_size=784, hidden_size=512, num_classes=10):
super(InnovativeNet, self).__init__()
# 🔥 Dynamic layer architecture
self.layers = nn.ModuleList([
nn.Linear(input_size, hidden_size),
nn.BatchNorm1d(hidden_size),
nn.Dropout(0.3),
nn.Linear(hidden_size, hidden_size // 2),
nn.BatchNorm1d(hidden_size // 2),
nn.Dropout(0.2),
nn.Linear(hidden_size // 2, num_classes)
])
def forward(self, x):
# ⚡ Advanced forward propagation
x = F.relu(self.layers[1](self.layers[0](x)))
x = self.layers[2](x)
x = F.relu(self.layers[4](self.layers[3](x)))
x = self.layers[5](x)
return F.log_softmax(self.layers[6](x), dim=1)
# 🎯 Initialize the future
model = InnovativeNet()
print("🌟 Advanced AI Model Initialized! Ready for innovation! 🚀")
