Mehdi Ghayoumi – författare
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11 produkter
Deep Learning in Practice
Häftad, 2025
711 kr
Lägg i varukorg
Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features:Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals.Explains and provides examples of deploying TensorFlow and Keras …
Deep Learning in Practice
Inbunden, 2021
1520 kr
Lägg i varukorg
Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features:Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals.Explains and provides examples of deploying TensorFlow and Keras …
Deep Learning in Practice
E-bok, 2021
838 kr
Lägg i varukorg
Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. Key features: D emonstrates a quick review on Python, NumPy, and TensorFlow fundamentals. E xplains and provides examples of deploying TensorFlow and …
Deep Learning in Practice
E-bok, 2021
838 kr
Lägg i varukorg
Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. Key features: D emonstrates a quick review on Python, NumPy, and TensorFlow fundamentals. E xplains and provides examples of deploying TensorFlow and …
Generative Adversarial Networks in Practice
E-bok, 2023
838 kr
Lägg i varukorg
This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts. Key Features: G uides you through the complex world of GANs, …
Generative Adversarial Networks in Practice
E-bok, 2023
838 kr
Lägg i varukorg
This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts. Key Features: G uides you through the complex world of GANs, …
Generative Adversarial Networks in Practice
Inbunden, 2023
1518 kr
Lägg i varukorg
This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts.Key Features:Guides you through the complex world of GANs, …
Generative Adversarial Networks in Practice
Häftad, 2025
846 kr
Lägg i varukorg
This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts.Key Features:Guides you through the complex world of GANs, …
Mathematical Foundations for Deep Learning
Inbunden, 2025
2131 kr
Lägg i varukorg
Mathematical Foundations for Deep Learning bridges the gap between theoretical mathematics and practical applications in artificial intelligence (AI). This guide delves into the fundamental mathematical concepts that power modern deep learning, equipping readers with the tools and knowledge needed …
Mathematical Foundations for Deep Learning
E-bok, 2025
2182 kr
Lägg i varukorg
Mathematical Foundations for Deep Learning bridges the gap between theoretical mathematics and practical applications in artificial intelligence (AI). This guide delves into the fundamental mathematical concepts that power modern deep learning, equipping readers with the tools and knowledge needed …
Mathematical Foundations for Deep Learning
E-bok, 2025
2182 kr
Lägg i varukorg
Mathematical Foundations for Deep Learning bridges the gap between theoretical mathematics and practical applications in artificial intelligence (AI). This guide delves into the fundamental mathematical concepts that power modern deep learning, equipping readers with the tools and knowledge needed …