Deep Learning with Python, Third Edition
Deep Learning with Python, Third Edition puts the power of deep learning in your hands.
Deep Learning with Python, Third Edition
Nº de artículo: 183016583

Deep Learning with Python, Third Edition

Nº de artículo: 183016583

BOB 667

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from Estados Unidos

En stock
Estados Unidos Importado de la tienda USA

QTY:

Haz tu pedido ahora y recíbelo por ahí Miércoles, Octubre 07
Our Top Logistics Partners
  • fedex
  • dhl
Deep Learning with Python, Third Edition puts the power of deep learning in your hands.
Garantía U-Care:
Ninguno
Selecciona un plan
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified


paypal payment
visa payment
mastercard payment

What Stands Out

Comprehensive Coverage
This edition offers extensive insights into deep learning, covering fundamental concepts to advanced techniques, ensuring a thorough understanding for both novices and experienced programmers alike.
Hands-On Learning
With practical examples and real-world applications, readers can quickly implement deep learning techniques, bridging the gap between theory and practical application effectively.
Updated Content
This third edition includes the latest developments in deep learning frameworks and libraries, providing readers with the current state-of-the-art tools and practices.

Detalles de producto

Shop Deep Learning with Python, Third Edition online at a best price in Bolivia. 1633436586
Publisher Manning
Publication date November 18, 2025
Edition 3rd
Language English
Print length 648 pages
ISBN-10 1633436586
ISBN-13 978-1633436589
Item Weight 1.58 pounds (720 grams)
Dimensions 7.38 x 1.6 x 9.25 inches (18.7 x 4.1 x 23.5 cm)

Who Should Buy?

Suitable For
  • Students and Beginners

    Ideal for those new to deep learning concepts and seeking a structured, accessible introduction.

  • Professionals Transitioning

    Suitable for software engineers or data scientists looking to transition into deep learning or enhance their skills.

  • Practical Project Developers

    Great for practitioners wanting hands-on experience with building neural networks and practical applications.

Not Suitable For
  • Advanced Experts

    Not suitable for seasoned deep learning researchers or experts seeking advanced theoretical content and methodologies.

DESCRIPCIÓN DEL PRODUCTO

Deep Learning with Python, Third Edition

¿Tienes alguna consulta? Chatea con nosotros

Preguntas y respuestas de los clientes

  • Pregunta: What new features are included in the third edition of Deep Learning With Python?

    Respuesta: The third edition introduces updates reflecting the latest advancements in deep learning, including improved explanations of Keras and TensorFlow, updated models, and practical tips for creating robust applications. The authors delve into recent research findings and practical implementations, enabling readers to grasp the nuances of building deep learning models. For instance, if you're looking to apply neural networks to real-world problems like image classification or natural language processing, this edition offers clearer examples and case studies to enhance your understanding.
  • Pregunta: Is this book suitable for beginners in deep learning?

    Respuesta: Yes, Deep Learning With Python, Third Edition, is designed to be accessible for beginners. The book starts with fundamental concepts in deep learning and gradually builds up to more advanced topics, ensuring that readers can follow along without prior experience. For example, if you're new to programming, you will find the explanations helpful as they break down complex ideas into digestible parts, making it feasible to learn deep learning in a practical context.
  • Pregunta: What programming knowledge do I need to read this book?

    Respuesta: Readers should have a basic understanding of Python, as the book leverages the language for implementing deep learning models. While prior knowledge of machine learning concepts can be beneficial, it is not a strict requirement. The author provides codes and insights that help you understand how to apply Python libraries effectively. If you have experience running simple scripts or working on small projects in Python, you'll be well equipped to dive into the examples presented.
  • Pregunta: Are there practical examples included in this edition?

    Respuesta: Absolutely, the third edition is filled with practical examples that illustrate the application of deep learning concepts. These examples provide hands-on experience using Keras and TensorFlow, allowing readers to implement models from scratch. For instance, readers can expect to work through projects like creating chatbots or classifying images, providing a direct pathway to apply theoretical knowledge in real-world scenarios.
  • Pregunta: How does the book address the challenges in deep learning?

    Respuesta: The book addresses challenges such as overfitting, data scarcity, and implementation complexity by incorporating best practices gleaned from the authors' experiences. It explains techniques like dropout, data augmentation, and regularization to mitigate these issues. For example, if you're struggling with model performance, the strategies outlined will help you refine your approach and optimize results, ultimately leading to more effective model training.
  • Pregunta: Will this book help me understand neural networks?

    Respuesta: Yes, this book provides extensive coverage of neural networks, from basic architectures to advanced techniques. It explains fundamental concepts like layers, activation functions, and training algorithms in a clear manner. If you're aspiring to build neural networks for projects such as image recognition or data prediction, this book will offer the necessary conceptual tools and hands-on practices to equip you with the skills needed.
  • Pregunta: Is there a focus on practical applications of deep learning?

    Respuesta: The third edition emphasizes practical applications throughout, featuring case studies and examples relevant to a variety of industries. It explores how deep learning can be applied in areas like healthcare, finance, and autonomous driving. Consequently, if you are looking to implement AI solutions within your sector, this book will provide insights on how to leverage deep learning effectively in real-world applications.
  • Pregunta: What level of detail does this book go into regarding TensorFlow and Keras?

    Respuesta: This edition delves deeply into TensorFlow and Keras, providing both conceptual insights and practical coding examples. Readers will learn how to leverage these powerful libraries for building and training neural networks effectively. If you are looking to develop complex models, you will find sections that guide you on optimizing performance and ensuring robustness for production-ready solutions.
  • Pregunta: Can I find resources online to complement the book?

    Respuesta: Yes, the book often points readers to online resources, including code repositories, tutorials, and forums, enhancing the learning experience. These additional resources are ideal for deepening your understanding, allowing you to engage with a community of learners and industry professionals. If you want to explore beyond the text, these supplementary materials will support your journey into deep learning.
  • Pregunta: Where can I buy Deep Learning With Python, Third Edition in Bolivia?

    Respuesta: You can purchase Deep Learning With Python, Third Edition at Ubuy, which offers a reliable platform for obtaining the book. Ubuy provides an efficient shopping experience, allowing you to browse and buy with confidence, ensuring you receive your copy seamlessly. Check Ubuy today for the availability of this essential resource in your area.

Neural Networks Editorial Review

**** The third edition of "Deep Learning with Python" by François Chollet has garnered widespread acclaim as an essential resource for anyone looking to delve into the world of AI and machine learning. Many readers have praised the book for its captivating and well-structured approach, making it the go-to manual for foundational knowledge in the field. From the onset, the text successfully explains fundamental concepts in machine learning and deep learning, laying a solid groundwork before venturing into more complex themes from Chapter 12 onwards. This chapter and those that follow introduce new material reflective of advancements in technology up until the mid-to-late 2020s, including critical discussions on object detection and large language models (LLMs). The blend of clear explanations and practical, executable Python code creates an enriching experience, appealing to both novices and experienced developers. Readers have pointed out the author's effective teaching methods that combine theoretical understanding with real-world methodologies. As noted, the book does not shy away from in-depth best practices, making it particularly beneficial for beginners entering the field. The comprehensive range of topics allows readers to access essential subjects like text classification, diffusion models, and generative AI methods all in one volume. Additionally, the choice of coding examples across popular frameworks such as TensorFlow, JAX, and PyTorch aligns well with current industry practices. This versatility ensures the material is not only informative but also relevant in today’s evolving tech landscape. The quality of the printing and digital formats has been highlighted as well, further enhancing the overall reading experience. Overall, this edition stands out as an indispensable tool for developers and learners alike, merging insightful content with hands-on applications, confirming its position as a top resource in the realm of machine learning literature. **

Customer Reviews & Ratings

1 valoraciones de los clientes
  • 5 estrella
    0%
  • 4 estrella
    100%
  • 3 estrella
    0%
  • 2 estrella
    0%
  • 1 estrella
    0%

Revisar este producto

Comparte tus ideas con otros clientes

ventajas

  • Well-structured and captivating content.
  • Clear explanations of fundamental and advanced topics.
  • Practical examples with Python code facilitate learning.
  • Comprehensive coverage of major themes, including recent advancements in technology.
  • Includes coding examples in popular frameworks such as TensorFlow, JAX, and PyTorch.
  • Engaging writing style makes complex concepts accessible.

Platform Trust & Buyer Confidence

trustpilot logo
4.2/5 9477 reseñas
Read reviews
JK
Jasmin
Verified buyer

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Verified buyer

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Verified buyer

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Verified buyer

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Verified buyer

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Pago seguro Global Delivery Easy Returns Genuine Products

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.