Neural Networks Explained Visually for Beginners | AI Explained #4

Neural Networks Explained Visually for Beginners – episode 4 of AI Concepts Explained, a free beginner-friendly artificial intelligence and machine learning course by Irfan Hayat. How does a neural network work? Irfan Hayat walks through neurons, weights, biases, activation functions and layers with animated diagrams, then builds a tiny network from scratch in Python with NumPy. What you'll learn • What an artificial neuron computes • Weights, biases and activation functions • Input, hidden and output layers • A forward pass step by step • A tiny neural network in NumPy Chapters 00:00 Intro 00:59 A single neuron 02:11 Activation functions 03:21 Layers and the forward pass 04:25 A tiny network in NumPy 05:39 What the network learns 06:44 Recap 07:35 Next: Gradient descent Altered or synthetic content: The presenter visuals and narration in this video are AI-generated/AI-assisted from the instructor's own photo and an original teaching script. All diagrams, code, and explanations are original. Family-friendly educational content. No music, third-party footage, or logos are used. #NeuralNetworks #DeepLearning #ArtificialIntelligence