Artificial Neuron Explained in Hindi | Dendrite Axon Cell Body | скачать в хорошем качестве

Artificial Neuron Explained in Hindi | Dendrite Axon Cell Body |

Neuron human nervous system ki basic structural aur functional unit hoti hai. Biological neuron ke structure aur working ko samajhkar Artificial Neural Network (ANN) develop kiya gaya hai. Artificial neuron biological neuron ka mathematical model hai jo input signals ko process karke output generate karta hai. Is topic me hum biological neuron ke parts (dendrite, cell body, nucleus, axon) aur unka artificial neuron se relation samjhenge. 🧬 1. Biological Neuron 4 Biological neuron brain aur nervous system me information transmit karta hai. Main Parts: 1️⃣ Dendrites Tree-like structure Dusre neurons se signals receive karte hain Input signal lene ka kaam 2️⃣ Cell Body (Soma) Neuron ka main body part Signals ko process karta hai Isme nucleus hota hai 3️⃣ Nucleus Cell body ke andar hota hai Genetic information store karta hai Cell activities control karta hai 4️⃣ Axon Long fiber-like structure Processed signal ko next neuron tak bhejta hai Output transmission ka kaam ⚡ Working of Biological Neuron Dendrites signal receive karte hain Cell body un signals ko process karti hai Agar signal threshold se zyada hua → Axon activate hota hai Signal next neuron ko transfer ho jata hai 🤖 2. Artificial Neuron (Artificial Neural Network Model) 4 Artificial neuron biological neuron ka simplified mathematical model hai. Components of Artificial Neuron: 1️⃣ Inputs (X1, X2, X3...) Dendrites ke equivalent Input signals 2️⃣ Weights (W1, W2, W3...) Signal importance batate hain Learning ke time adjust hote hain 3️⃣ Summation Function (∑) Sab inputs ko add karta hai Mathematical processing 4️⃣ Bias Threshold control karta hai 5️⃣ Activation Function Decide karta hai output 0 ya 1 hoga Examples: Step, Sigmoid, ReLU 6️⃣ Output (Y) Axon ke equivalent Final result 🔁 Biological vs Artificial Neuron (Comparison) Biological Neuron Artificial Neuron Dendrite Inputs Cell Body Summation Unit Nucleus Control Logic Axon Output Synapse Weights 🧮 Mathematical Model Artificial neuron ka formula: y=f(∑wi​xi​+b) Yaha: Xi = Input Wi = Weight b = Bias f = Activation Function 🎯 Importance in Soft Computing Pattern Recognition Image Processing Speech Recognition Machine Learning Deep Learning Artificial neurons milkar Neural Network banate hain jo complex problems solve karte hain. Artificial Neuron in Hindi Biological Neuron in Hindi Soft Computing Unit 1 ANN basics Dendrite Axon explanation Cell body nucleus neuron Perceptron model Hindi Neural Network basics ANN for beginners Soft Computing semester notes Biological vs Artificial neuron Activation function explained