This book bridges the gap between theoretical mathematics and practical applications in AI. Whether youre aiming to develop practical skills for AI projects, advance to emerging trends in deep learning, or lay a strong foundation for future studies...Loe edasi...
Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep l...Loe edasi...
Generative Adversarial Networks (GANs) in Practice is an all-inclusive resource that provides a solid foundation on GAN methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts....Loe edasi...
