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N E T W O R K S & M A C H I N E S
class Me:
def __init__(self):
self.name = "Ali"
self.role = "ML Explorer & Neural Net Enthusiast"
self.current = "Training myself... and my models"
self.interests = ["Deep Learning", "Neural Networks", "AI Research"]
self.status = "loss = 0.042 → still improving 📉"
self.quote = "Every expert was once a beginner with a broken gradient"
def say_hi(self):
print("Hey! I'm on a journey through the math and magic of AI. 🚀")
me = Me()
me.say_hi() INPUT LAYER HIDDEN LAYERS OUTPUT LAYER
┌─────────────┐ ┌─────────────┐ ┌──────────────┐
│ Python 🐍 │──────────│ Patterns │──────────▶│ Models │
│ Math 📐 │──────────│ Features │──────────▶│ Papers │
│ Curiosity 🔍│─────────│ Gradients │──────────▶│ Projects 🎯 │
└─────────────┘ └─────────────┘ └──────────────┘
▲ │
└──────────────── Backpropagation ─────────────────-┘
(a.k.a. learning from mistakes)
