Backpropagation Explained | How Neural Networks Learn

Watch Video on YouTube : https://youtu.be/Kd5Wswjab9wHow do neural networks actually learn? The answer lies in Backpropagation — a foundational algorithm that allows AI systems to improve and adapt.In this video, we’ll break down:1. What is Backpropagation in simple terms2. Key concepts like weights, biases, activation functions & forward propagation3. The role of the loss function and gradient descent4. Static vs. recurrent backpropagation5. Real-world applications in OCR, spam detection, sentiment analysis & more✅ Don’t forget to like, comment, and subscribe for more AI and machine learning insights.🎙️ From The Rest is AI – by Shreyas Shukla💼 Find my latest AI courses on LinkedIn: ⁠https://www.linkedin.com/in/shreyas768/⁠🌐 Website: ⁠https://www.shreyshukla.com/🎵 Audiobooks on YouTube Music: Click Here#Backpropagation #NeuralNetworks #AIExplained #DeepLearning #MachineLearning #TheRestIsAI #GradientDescent #ArtificialIntelligence #TechForBeginners #MLAlgorithms #RecurrentNeuralNetworks #AIEducation