How Neural Networks Work #AI #MachineLearning #NeuralNetworks #SelfDrivingCar #DeepLearning

How does a self-driving car learn to steer without being programmed? In this video, I break down how a neural network controls a car by using perceptrons, weights, biases, activation functions, and an algorithm called gradient descent. You’ll see how inputs flow through the network, how error (loss) is calculated, and how the model learns the perfect turning angle through training. If you want to understand AI, deep learning, or how real self-driving systems learn to make decisions, this is the perfect beginner-friendly explanation. #AI #MachineLearning #NeuralNetworks #SelfDrivingCar #DeepLearning #GradientDescent #Backpropagation #ActivationFunctions #AIEducation #AITutorial #TechShorts #MLAlgorithms #AIExplained #ComputationalThinking #DataScienceBasics #MLModels #AITraining #RobotLearning #DeepLearningTech #NeuralNetExplained #AIforBeginners #TechEducation #CodeLearning #AutonomousSystems #FutureOfAI