- Página de inicio /
- Libros /
- Computadoras y tecnología /
- Informática /
- AI & Machine Learning /
- Intelligence & Semantics /
- Deep Learning with PyTorch: Build, train, and...
0 ratings
Nº de artículo:
28158151
Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools
88% of respondents would recommend this to a friend
Nº de artículo:
28158151
PAB 66
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from Estados Unidos
0 ratings
Escribe una opinión
En stock
Importado de la tienda USA
QTY:
Haz tu pedido ahora y recíbelo por ahí Monday, Octubre 26
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Our Top Logistics Partners
We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
Hands-On Learning
Engages readers through practical projects, enabling them to implement and experiment with neural networks directly using PyTorch, reinforcing theoretical concepts with real-world applications.
Comprehensive Guidance
Provides detailed step-by-step instructions on building, training, and tuning models, making advanced deep learning techniques accessible even to beginners in Python and machine learning.
Up-to-Date Content
Covers the latest developments in deep learning and PyTorch, ensuring readers are equipped with current knowledge and skills to tackle modern AI challenges effectively.
Detalles de producto
- Written by PyTorch's creator and key contributors
- Develop deep learning models in a familiar Pythonic way
- Use PyTorch to build an image classifier for cancer detection
- Diagnose problems with your neural network and improve training with data augmentation
- Includes a free eBook in PDF, Kindle, and ePub formats
- Suitable for Python programmers with an interest in machine learning
| Publisher | Manning |
| Publication date | August 4, 2020 |
| Edition | First Edition |
| Language | English |
| Print length | 520 pages |
| ISBN-10 | 1617295264 |
| ISBN-13 | 978-1617295263 |
| Item Weight | 1.95 pounds (880 grams) |
| Dimensions | 7.38 x 1.1 x 9.25 inches (18.7 x 2.8 x 23.5 cm) |
Who Should Buy?
-
Beginners in AI
Ideal for newcomers eager to understand neural networks and deep learning basics using practical examples.
-
Data Scientists
Data professionals looking to enhance their skills in developing and fine-tuning neural networks with PyTorch.
-
Students
Perfect for students studying computer science or artificial intelligence, seeking a hands-on approach to deep learning.
-
Advanced Experts
Experienced practitioners may find the content too basic and lacking advanced deep learning techniques.
DESCRIPCIÓN DEL PRODUCTO
Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools
About This Item
Are you looking to dive into the world of deep learning and neural networks? Look no further than our product, "Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools." With PyTorch, a powerful and popular deep learning framework, you'll be able to harness the full potential of neural networks and unlock their capabilities. This first edition book provides a comprehensive guide on how to build, train, and optimize neural networks using the PyTorch library. Whether you're a beginner or an experienced data scientist, this book is designed to cater to your needs. The step-by-step tutorials and hands-on examples will help you grasp the fundamentals of PyTorch and its powerful features for neural network development. By leveraging Python tools, you'll have access to a wide range of libraries and resources that can enhance your deep learning projects.
From data manipulation to model building and deployment, this book covers it all. What sets PyTorch apart is its dynamic computational graph, which allows for flexibility and ease of use. You'll be able to experiment with different network architectures, fine-tune hyperparameters, and optimize your models efficiently. Whether you're working on AI applications, research projects, or industrial-scale deep learning implementations, PyTorch is a valuable tool in your arsenal. This book will guide you through the process of building deep learning models with PyTorch and equipping you with the knowledge to tackle real-world problems. Take your deep learning journey to new heights with "Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools." Start exploring the endless possibilities of PyTorch and unlock the full potential of neural networks today.
¿Tienes alguna consulta? Chatea con nosotros
Preguntas y respuestas de los clientes
-
Pregunta:
¿Cómo comprar Deep Learning with PyTorch: Build, train, and tune en línea desde Ubuy?
Respuesta: Es fácil comprar Deep Learning with PyTorch: Build, train, and tune en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación. -
Pregunta:
¿Está Deep Learning with PyTorch: Build, train, and tune disponible para comprar en línea en Panama?
Respuesta: Sí, en Ubuy Panama, este producto está disponible para que lo compre a un precio razonable.. El Deep Learning with PyTorch: Build, train, and tune no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés. -
Pregunta:
¿Cuánto tiempo se tarda en obtener el producto después de realizar el pedido?
Respuesta: El tiempo de entrega de su producto pedido varía según lo que haya pedido y el método de envío que haya elegido.. El tiempo de entrega estimado se menciona durante el proceso de pago, así que no se preocupe mientras compra.
Intelligence & Semantics Editorial Review
"Deep Learning with PyTorch" provides a comprehensive introduction to the application of PyTorch in deep learning. The book covers topics such as PyTorch, tensors, backpropagation, convolutions, resnets, and more, making it a good starting point for those interested in learning about deep learning. However, the book is lacking a chapter on language models and attention. Additionally, the networks discussed in the book are mostly sequential, and the final example provided may not be very useful. The quality of the paper used for printing is poor, and the graphics are printed in black and white, which can make it difficult to read. Despite these shortcomings, the author explains the concepts carefully, with illustrations and graphs, making it easy to understand even for beginners.
Customer Reviews & Ratings
1 valoraciones de los clientes
-
5 estrella
100%
-
4 estrella
0%
-
3 estrella
0%
-
2 estrella
0%
-
1 estrella
0%
Revisar este producto
Comparte tus ideas con otros clientes
ventajas
- Comprehensive introduction to PyTorch and deep learning
- Thorough explanation of concepts with illustrations and graphs
- Provides good starting point for beginners
Contras
- Lacking a chapter on language models and attention
Product Price History
Información importante
- Limitaciones: Para los productos enviados al extranjero, ten en cuenta que cualquier garantía del fabricante puede no ser válida; las opciones de servicio del fabricante pueden no estar disponibles; los manuales del producto, las instrucciones y las advertencias de seguridad pueden no estar en los idiomas del país de destino; los productos (y los materiales que los acompañan) pueden no estar diseñados de acuerdo con las normas, especificaciones y requisitos de etiquetado del país de destino; y los productos pueden no ajustarse al voltaje del país de destino y a otras normas eléctricas (lo que requiere el uso de un adaptador o convertidor, si procede). El destinatario es responsable de asegurarse de que el producto puede ser importado legalmente al país de destino. Cuando hagas un pedido a Ubuy o a sus filiales, el destinatario es el importador registrado y debe cumplir todas las leyes y normativas del país de destino.
- No todos los productos que aparecen en Ubuy están a la venta, ya que Ubuy es un motor de búsqueda a nivel mundial. Los productos están sujetos a las normas de exportación/comercio.
PAB 66
Haz tu pedido ahora y recíbelo por ahí Monday, Octubre 26
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
características y beneficios
- Written by PyTorch's creator and key contributors
- Teaches to create deep learning and neural network systems with PyTorch
- Builds a tumor image classifier from scratch
- Covers best practices for the entire deep learning pipeline
- Includes downloadable Jupyter notebooks for all code samples
- For Python programmers with an interest in machine learning, no prior experience required
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.