Publicado por Continental Academy Press, London
Librería: Continental Academy Press, London, SELEC, Reino Unido
EUR 10,27
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Añadir al carritoSoftcover. Condición: New. Estado de la sobrecubierta: no dj. First. Code Optimization Techniques for Machine Learning Models offers a cutting-edge exploration of the latest techniques and strategies for optimizing machine learning models. This book provides a comprehensive and in-depth examination of the principles and practices of code optimization, including the use of profiling tools, the optimization of neural networks, and the application of machine learning algorithms. With its practical examples, real-world case studies, and expert insights, Code Optimization Techniques for Machine Learning Models is an essential resource for machine learning engineers, data scientists, and anyone interested in improving the performance and efficiency of their machine learning models. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.
Publicado por Continental Academy Press, London
Librería: Continental Academy Press, London, SELEC, Reino Unido
EUR 10,84
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Añadir al carritoSoftcover. Condición: New. Estado de la sobrecubierta: no dj. First. Code Optimization for Machine Learning Models with PyTorch is a comprehensive guide that explores the exciting possibilities of code optimization for machine learning models. This book provides a thorough introduction to the principles and practices of code optimization, covering topics such as model pruning, knowledge distillation, and quantization. With the increasing importance of code optimization in machine learning, readers can create innovative solutions that improve the performance and efficiency of their models. By leveraging the power of PyTorch, readers can optimize their machine learning models and achieve state-of-the-art results. From image classification to natural language processing, this book covers a wide range of applications for code optimization. With its clear explanations and practical examples, Code Optimization for Machine Learning Models with PyTorch is an essential resource for anyone looking to create innovative machine learning solutions. By combining the principles of code optimization with the power of PyTorch, readers can create innovative solutions that improve the performance and efficiency of their models. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.
Publicado por Continental Academy Press, London
Librería: Continental Academy Press, London, SELEC, Reino Unido
EUR 11,43
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Añadir al carritoSoftcover. Condición: New. Estado de la sobrecubierta: no dj. First. In the world of machine learning, code optimization is critical for achieving high-performance models. 'Code Optimization for Machine Learning Models with Keras' provides a comprehensive guide to optimizing Keras code for faster training times, improved accuracy, and reduced computational costs. By applying expert techniques and strategies, this book shows how to streamline model development, reduce memory usage, and improve model interpretability. Whether you're a machine learning practitioner or a data scientist, this book provides the knowledge and tools necessary to optimize your Keras code and unlock the full potential of your machine learning models. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.