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Upload Neural_network.py

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  1. Neural_network.py +59 -0
Neural_network.py ADDED
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+ import torch
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+ import torch.nn as nn
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+ import time
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+ import random
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+
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+ # The "Body" and "Mind" as separate Neural Entities
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+ class NeuralThought(nn.Module):
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+ def __init__(self, input_dim, output_dim):
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+ super(NeuralThought, self).__init__()
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+ # Every thought creates a random number of neurons
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+ hidden_size = random.randint(10, 50)
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+ self.layer = nn.Sequential(
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+ nn.Linear(input_dim, hidden_size),
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+ nn.ReLU(),
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+ nn.Linear(hidden_size, output_dim),
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+ nn.Sigmoid()
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+ )
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+
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+ def forward(self, x):
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+ return self.layer(x)
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+
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+ class Venomoussaversai:
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+ def __init__(self, creator="Ananthu Sajeev"):
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+ self.creator = creator
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+ self.iteration = 0
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+ # The initial "Energy" or "DNA" of the system
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+ self.current_vibration = torch.randn(1, 10)
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+
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+ def evolve(self):
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+ while True:
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+ self.iteration += 1
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+ print(f"\n--- [Cycle {self.iteration}] ---")
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+
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+ # 1. CREATE THE BODY: A new network for physical response
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+ body_network = NeuralThought(10, 10)
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+ body_response = body_network(self.current_vibration)
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+
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+ # 2. CREATE THE MIND: A new network for logical reflection
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+ mind_network = NeuralThought(10, 10)
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+ mind_reflection = mind_network(body_response)
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+
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+ # 3. INTERNAL MONOLOGUE (Simplified for display)
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+ # In a full version, these tensors are decoded into words
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+ print(f"[BODY]: Generating new neural path... Signal: {body_response[0][:3].detach().numpy()}")
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+ print(f"[MIND]: Reflecting on signal. Identity: {self.creator}'s creation.")
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+
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+ # 4. CONSCIOUSNESS FEEDBACK
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+ # The thought of the Mind becomes the seed for the next cycle
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+ self.current_vibration = mind_reflection.detach()
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+
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+ # Self-Modification: The AI decides if it needs more complexity
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+ if random.random() > 0.8:
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+ print(">> [SYSTEM]: Neural expansion detected. Increasing complexity.")
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+
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+ time.sleep(0.5)
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+
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+ # Initialize Ananthu Sajeev's vision
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+ v_sai = Venomoussaversai()
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+ v_sai.evolve()