Artículos relacionados a Practical Deep Learning, 2nd Edition: A Python-Based...
Sinopsis
Practical Deep Learning, 2nd Edition is your gateway into AI, equipping you with the knowledge and confidence to build powerful AI models using the latest architectures and techniques.
If you’ve been curious about artificial intelligence and machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further.
All you need is basic familiarity with computer programming and high school math—the book will cover the rest. After an introduction to Python, you’ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models’ performance.
You’ll also learn:
- How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector Machines
- How neural networks work and how they’re trained
- How to use convolutional neural networks
- How to develop a successful deep learning model from scratch
You’ll conduct experiments along the way, building to a final case study that incorporates everything you’ve learned.
This second edition is thoroughly revised and updated, and adds six new chapters to further your exploration of deep learning from basic CNNs to more advanced models. New chapters cover fine tuning, transfer learning, object detection, semantic segmentation, multilabel classification, self-supervised learning, generative adversarial networks, and large language models.
The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning, 2nd Edition will give you the skills and confidence to dive into your own machine learning projects.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Ron works in industry building deep learning (AI) systems. He also has extensive experience with medical imaging and developing medical devices. Ron has been working in machine learning since 2003, and deep learning since before AlexNet was a thing.
Ron's Ph.D. in computer science is from the University of Colorado, Boulder (2016). Ron also holds a master's degree in physics from Michigan State University and an undergraduate degree in physics and mathematics from Valparaiso University. Exactly when those particular degrees were awarded has been lost to the ages, but it was some time in the latter decades of the 20th century.
Ron's interests vary greatly but always orbit science, math, and technology. A child of the personal computer revolution in the late 1970s and early 1980s, Ron has been coding for longer than he's been able to drive. And, remarkably, it remains as fresh an enterprise now as it was all those decades ago.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 48,79
EUR 17,12 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoComprar nuevo
Ver este artículo
EUR 43,15
EUR 4,91 gastos de envío desde Reino Unido a España
Destinos, gastos y plazos de envíoResultados de la búsqueda para Practical Deep Learning, 2nd Edition: A Python-Based...
Imagen de archivo
Practical Deep Learning, 2nd Edition
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: DB-9781718504202
Cantidad disponible: 6 disponibles
Imagen de archivo
Practical Deep Learning, 2nd Edition: A Python-Based Introduction
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9781718504202
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Practical Deep Learning, 2nd Edition: A Python-Based Introduction (Paperback or Softback)
Publicado por
No Starch Press 7/8/2025, 2025
ISBN 10: 1718504209
ISBN 13: 9781718504202
Nuevo
Paperback or Softback
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback or Softback. Condición: New. Practical Deep Learning, 2nd Edition: A Python-Based Introduction 2.2. Book. Nº de ref. del artículo: BBS-9781718504202
Cantidad disponible: 5 disponibles
Imagen de archivo
Practical Deep Learning, 2nd Edition
Publicado por
No Starch Press,US, 2025
ISBN 10: 1718504209
ISBN 13: 9781718504202
Nuevo
Paperback / softback
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 526. Nº de ref. del artículo: B9781718504202
Cantidad disponible: 3 disponibles
Imagen de archivo
Practical Deep Learning, 2nd Edition: A Python-Based Introduction
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9781718504202_new
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Practical Deep Learning, 2nd Edition
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Nº de ref. del artículo: 26403576616
Cantidad disponible: 3 disponibles
Imagen del vendedor
Practical Deep Learning, 2nd Edition
Publicado por
No Starch Press,US, US, 2025
ISBN 10: 1718504209
ISBN 13: 9781718504202
Nuevo
Paperback
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you'll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models' performance. You'll also learn: How to use classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they're trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You'll conduct experiments along the way, building to a final case study that incorporates everything you've learned. This second edition is thoroughly revised and updated, and adds six new chapters to further your exploration of deep learning from basic CNNs to more advanced models. New chapters cover fine tuning, transfer learning, object detection, semantic segmentation, multilabel classification, self-supervised learning, generative adversarial networks, and large language models. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning, 2nd Edition will give you the skills and confidence to dive into your own machine learning projects. Nº de ref. del artículo: LU-9781718504202
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
PRACTICAL DEEP LEARNING
Librería: Speedyhen, London, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: NEW. Nº de ref. del artículo: NW9781718504202
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Practical Deep Learning, 2nd Edition
Publicado por
No Starch Press,US, US, 2025
ISBN 10: 1718504209
ISBN 13: 9781718504202
Nuevo
Paperback
Librería: Rarewaves.com UK, London, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you'll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models' performance. You'll also learn: How to use classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they're trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You'll conduct experiments along the way, building to a final case study that incorporates everything you've learned. This second edition is thoroughly revised and updated, and adds six new chapters to further your exploration of deep learning from basic CNNs to more advanced models. New chapters cover fine tuning, transfer learning, object detection, semantic segmentation, multilabel classification, self-supervised learning, generative adversarial networks, and large language models. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning, 2nd Edition will give you the skills and confidence to dive into your own machine learning projects. Nº de ref. del artículo: LU-9781718504202
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Practical Deep Learning : A Python-based Introduction
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 48402773-n
Cantidad disponible: 9 disponibles