Backpropagation is the core learning mechanism behind neural networks In this video, we break down how loss is computed by measuring the error between predicted output and the actual target using Mean Squared Error (MSE). You’ll see how predictions flow through the network, how error is calculated, and why minimizing this loss is essential for training deep learning models. A must-watch if you’re building strong fundamentals in Machine Learning and AI #Backpropagation #ComputeLoss #MeanSquaredError #MSE #NeuralNetworks #DeepLearning #MachineLearning #AI #DataScience #MLBasics #AIFundamentals #ArtificialIntelligence #LearningAI #MathForML #Engineering #CS #TechEducation #StudyML