Artificial Neuron Explained: Weights, Bias & Activation Function (Deep Learning Basics) | Urdu/Hindi

In this video, you’ll learn the fundamental building block of Deep Learning — the Artificial Neuron, along with the concepts of Weights and Bias.

Understanding how an artificial neuron works is essential for learning Neural Networks, Machine Learning, and AI systems.

🔍 In This Video, You’ll Learn

✔ What an Artificial Neuron is
✔ Biological vs Artificial Neuron (simple comparison)
✔ Role of weights in a neuron
✔ What bias is and why it is important
✔ Mathematical representation of a neuron
✔ Introduction to activation function
✔ How neurons make decisions in AI models

🧠 Key Concept (Simple Formula)

Output = Activation (Σ (Weights × Inputs) + Bias)

This simple formula is the foundation of all Deep Learning models.

🔖 Hashtags
#ArtificialNeuron
#DeepLearning
#MachineLearning
#NeuralNetworks
#AI
#WeightsAndBias
#LearnAI
#DataScience
#AIForBeginners
#QRRwithUsman

👉 Artificial Neuron Explained: Weights, Bias & Activation Function (Deep Learning Basics) | Urdu/Hindi: https://youtu.be/VoQeHSmNmFU

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🔹 Subscribe for more: https://youtube.com/@QRRwithUsman

Видео Artificial Neuron Explained: Weights, Bias & Activation Function (Deep Learning Basics) | Urdu/Hindi канала Quick Research Reviews (QRR)