Introduction to Neural Networks with Python

Curious about how artificial intelligence recognizes patterns? This course demystifies neural networks, breaking down complex ideas into understandable text-based explanations. You will gain a solid grasp of what neural networks are and how they work. Transform your understanding of AI by learning the core principles behind neural networks and applying them to a practical problem. You will be able to explain how neural networks learn and construct a basic model capable of recognizing handwritten digits. What you'll learn: * Understand the fundamental architecture and concepts of neural networks. * Learn how to prepare data for training a neural network. * Build a simple neural network from scratch using Python code. * Apply basic concepts of prompt engineering to refine model understanding. * Practice evaluating the performance of your trained model. * Configure and run Python code for building and testing your network. This course covers the essential building blocks of neural networks, starting with basic definitions and progressing to hands-on coding examples. It is designed for absolute beginners with no prior experience in AI or machine learning, requiring only basic Python familiarity. Start your journey into the fascinating world of neural networks today.