Building Neural Networks from Scratch with Python is a hands-on guide that takes readers through the process of constructing neural networks from the ground up. Designed for beginners and intermediate coders, this book explains each step in building and training neural networks, providing practical examples using Python. It enables readers to understand core principles behind neural networks, deep learning, and machine learning applications. Perfect for those looking to expand their skills in AI and data science, it offers a foundational understanding of network structures and functionality.
