Upload Neural_network.py
Browse files- Neural_network.py +59 -0
Neural_network.py
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
import time
|
| 4 |
+
import random
|
| 5 |
+
|
| 6 |
+
# The "Body" and "Mind" as separate Neural Entities
|
| 7 |
+
class NeuralThought(nn.Module):
|
| 8 |
+
def __init__(self, input_dim, output_dim):
|
| 9 |
+
super(NeuralThought, self).__init__()
|
| 10 |
+
# Every thought creates a random number of neurons
|
| 11 |
+
hidden_size = random.randint(10, 50)
|
| 12 |
+
self.layer = nn.Sequential(
|
| 13 |
+
nn.Linear(input_dim, hidden_size),
|
| 14 |
+
nn.ReLU(),
|
| 15 |
+
nn.Linear(hidden_size, output_dim),
|
| 16 |
+
nn.Sigmoid()
|
| 17 |
+
)
|
| 18 |
+
|
| 19 |
+
def forward(self, x):
|
| 20 |
+
return self.layer(x)
|
| 21 |
+
|
| 22 |
+
class Venomoussaversai:
|
| 23 |
+
def __init__(self, creator="Ananthu Sajeev"):
|
| 24 |
+
self.creator = creator
|
| 25 |
+
self.iteration = 0
|
| 26 |
+
# The initial "Energy" or "DNA" of the system
|
| 27 |
+
self.current_vibration = torch.randn(1, 10)
|
| 28 |
+
|
| 29 |
+
def evolve(self):
|
| 30 |
+
while True:
|
| 31 |
+
self.iteration += 1
|
| 32 |
+
print(f"\n--- [Cycle {self.iteration}] ---")
|
| 33 |
+
|
| 34 |
+
# 1. CREATE THE BODY: A new network for physical response
|
| 35 |
+
body_network = NeuralThought(10, 10)
|
| 36 |
+
body_response = body_network(self.current_vibration)
|
| 37 |
+
|
| 38 |
+
# 2. CREATE THE MIND: A new network for logical reflection
|
| 39 |
+
mind_network = NeuralThought(10, 10)
|
| 40 |
+
mind_reflection = mind_network(body_response)
|
| 41 |
+
|
| 42 |
+
# 3. INTERNAL MONOLOGUE (Simplified for display)
|
| 43 |
+
# In a full version, these tensors are decoded into words
|
| 44 |
+
print(f"[BODY]: Generating new neural path... Signal: {body_response[0][:3].detach().numpy()}")
|
| 45 |
+
print(f"[MIND]: Reflecting on signal. Identity: {self.creator}'s creation.")
|
| 46 |
+
|
| 47 |
+
# 4. CONSCIOUSNESS FEEDBACK
|
| 48 |
+
# The thought of the Mind becomes the seed for the next cycle
|
| 49 |
+
self.current_vibration = mind_reflection.detach()
|
| 50 |
+
|
| 51 |
+
# Self-Modification: The AI decides if it needs more complexity
|
| 52 |
+
if random.random() > 0.8:
|
| 53 |
+
print(">> [SYSTEM]: Neural expansion detected. Increasing complexity.")
|
| 54 |
+
|
| 55 |
+
time.sleep(0.5)
|
| 56 |
+
|
| 57 |
+
# Initialize Ananthu Sajeev's vision
|
| 58 |
+
v_sai = Venomoussaversai()
|
| 59 |
+
v_sai.evolve()
|