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⚜️Neural network course session one::
1️⃣Introduction to Neural Networks

🔵This video provides an introduction to the fascinating world of neural networks. We explore the biological inspiration behind artificial neural networks, drawing parallels between the human brain and these computational models. Key topics covered include:

✅History of neural networks and major milestones
✅Comparison of biological and artificial neuron speeds
✅Loss of neurons with age and neuroplasticity
✅How the brain processes information and learns
✅Applications of neural networks across diverse fields
✅Further reading resources on neural network fundamentals
To see the next meeting earlier, visit the YouTube
🔻YouTube: second session
https://youtu.be/JtBebQ2CJKs

Download file and codes (in comment)::
🔹Telegram:
🆔 @MATLAB_House

@MATLABHOUSE

#NeuralNetworks #ArtificialIntelligence #MachineLearning #Neurons #BrainInspired #Neuroplasticity #DeepLearning #AI #AINeuralNetworks #ComputationalNeuroscience #NeuralNetworkApplications

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1.4K viewsNaser Pakar, edited Apr 10, 2024 at 08:50

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Create: 2024-04-10
Last Update: 2025-10-22 10:16:49

⚜️Neural network course session one::
1️⃣Introduction to Neural Networks

🔵This video provides an introduction to the fascinating world of neural networks. We explore the biological inspiration behind artificial neural networks, drawing parallels between the human brain and these computational models. Key topics covered include:

✅History of neural networks and major milestones
✅Comparison of biological and artificial neuron speeds
✅Loss of neurons with age and neuroplasticity
✅How the brain processes information and learns
✅Applications of neural networks across diverse fields
✅Further reading resources on neural network fundamentals
To see the next meeting earlier, visit the YouTube
🔻YouTube: second session
https://youtu.be/JtBebQ2CJKs

Download file and codes (in comment)::
🔹Telegram:
🆔 @MATLAB_House

@MATLABHOUSE

#NeuralNetworks #ArtificialIntelligence #MachineLearning #Neurons #BrainInspired #Neuroplasticity #DeepLearning #AI #AINeuralNetworks #ComputationalNeuroscience #NeuralNetworkApplications

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Date: 2025-10-22|

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