Knihobot

Mehdi Ghayoumi Knihy

    Deep Learning in Practice
    Generative Adversarial Networks in Practice

    • Generative Adversarial Networks in Practice

      • 642 stránek
      • 23 hodin čtení

      Focusing on Generative Adversarial Networks (GANs), this resource offers a comprehensive guide to their methodologies and practical applications. It delves into real-world projects, providing insights into the mathematical and theoretical foundations that support GAN technology. Ideal for those looking to understand and implement GANs effectively, it serves as both an educational tool and a practical reference for practitioners in the field.

      Generative Adversarial Networks in Practice

    • Deep Learning in Practice

      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 learning model for any project, step by step.

      Deep Learning in Practice