What is the main focus of the book 'Deep Learning with PyTorch'?

The book primarily focuses on teaching readers how to build, train, and tune neural networks using PyTorch. It introduces the fundamental concepts of deep learning in a hands-on manner, enabling you to implement various neural network architectures and techniques efficiently. Readers can expect to explore practical applications, including image recognition and natural language processing, enhancing their understanding of modern AI applications.

Is this book suitable for beginners in deep learning?

Yes, 'Deep Learning with PyTorch' is designed for readers at various levels, including beginners. It starts with the basics, ensuring that even those new to deep learning can follow along. The book contains clear explanations, practical examples, and guided exercises which facilitate learning. This makes it an excellent resource for individuals looking to grasp core concepts and start their journey in AI and machine learning.

Does the book include practical examples and exercises?

Absolutely! The book features numerous practical examples and hands-on exercises throughout its chapters. These examples allow readers to apply theoretical knowledge and gain practical experience in designing, training, and evaluating neural networks. By working on projects such as image classification and text generation, readers can solidify their understanding and enhance their coding skills in real-world scenarios.

What programming language is primarily used in the book?

The primary programming language used in 'Deep Learning with PyTorch' is Python. It leverages PyTorch, a popular deep learning library known for its dynamic computational graph and ease of use. This choice of language and library provides a flexible environment for building machine learning models, making it accessible for both beginners and advanced practitioners interested in developing deep learning solutions.

What versions of PyTorch does the book cover?

The book covers the first edition of PyTorch, with a focus on its core functionalities and features that are essential for building and training neural networks. Subsequent updates and community-driven advancements are also discussed, giving readers insights into future developments. This ensures that the knowledge acquired remains relevant as the framework evolves, making it a valuable resource as you progress in the field.

Can this book help in preparing for deep learning interviews?

Yes, 'Deep Learning with PyTorch' serves as a good foundation for anyone preparing for deep learning interviews. It covers essential topics such as neural network architectures, optimization techniques, and real-world project implementations. The practical exercises and example projects not only solidify your understanding but can also provide valuable discussion points during interviews, showcasing your hands-on experience and proficiency.

Are there any prerequisites for reading this book?

While 'Deep Learning with PyTorch' is accessible to beginners, having a foundational understanding of Python programming and some basic knowledge of machine learning concepts can enhance the learning experience. Familiarity with concepts such as algorithms and data structures will also be beneficial. However, the book is structured to guide readers through from the basics to more complex ideas, making it suitable for a range of audiences.

What type of projects can I expect to create with this book?

Readers of 'Deep Learning with PyTorch' can expect to work on various exciting projects, including image classification, neural style transfer, and natural language processing tasks like text generation and sentiment analysis. These projects are designed to apply theoretical concepts in practical scenarios, providing a comprehensive understanding of how to implement deep learning models effectively.

Who are the authors of the book?

The authors of 'Deep Learning with PyTorch' are prominent figures in the machine learning community, recognized for their contribution to AI research and education. Their extensive experience in both teaching and practical application of deep learning ensures that the content is not only credible but also relevant to current industry practices. Learning from experts enhances the value of the material presented in the book.

Come acquistare Deep Learning with PyTorch: Build, train, and tune online da Ubuy?

È facile acquistare Deep Learning with PyTorch: Build, train, and tune online da Ubuy.. Devi solo cercare il prodotto, scegliere il metodo di spedizione durante il check-out e farlo consegnare alla tua posizione.

Quanto tempo ci vuole per ottenere il prodotto dopo aver effettuato l'ordine?

I tempi di consegna del prodotto ordinato variano in base a ciò che hai ordinato e al metodo di spedizione che hai scelto.. Il tempo di consegna stimato viene menzionato durante il processo di pagamento, quindi sii spensierato durante lo shopping.

Visualizza originale

Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools

We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail.

Articolo #: 28158151

Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools

Q: Where can I buy 'Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools First Edition'?

You can purchase 'Deep Learning with PyTorch' from Ubuy in San Marino. Ubuy offers a wide range of books and e-learning resources, making it a convenient option for acquiring this title. With its user-friendly interface and reliable service, Ubuy provides a seamless shopping experience for all your educational needs.

88% degli intervistati lo consiglierebbe a un amico

Articolo #: 28158151

€ 55

~~€ 61~~

Dettagli del prezzo

Escluse spese di spedizione e doganali ( Le spese di spedizione e doganali saranno calcolate al momento del pagamento )

^{*Tutti gli articoli verranno importati da Stati Uniti}

Disponibilità : Disponibile

Importato dal negozio USA

Qtà:

Ordina subito e ricevilo entro Monday, Ottobre 26

Transazione sicura

I nostri principali partner logistici

We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail.

Garanzia U-Care:

Nessuna

Seleziona un piano

Consegna
veloce

Reso
gratuito^*

Imballaggio sicuro

Prodotti originali al 100%

Conformità PCI DSS

Certificazione ISO 27001

Note: Step Down Voltage Transformer required for using electronics products of Stati Uniti store (110-120). Recommended power converters Acquista ora.

Cosa salta all'occhio

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.

Dettagli del prodotto

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)

A chi è consigliato?

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.

DESCRIZIONE DEL PRODOTTO

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.

Hai qualche domanda? chatta con noi

Domande e risposte dei clienti

Domanda: Come acquistare Deep Learning with PyTorch: Build, train, and tune online da Ubuy?

Risposta: È facile acquistare Deep Learning with PyTorch: Build, train, and tune online da Ubuy.. Devi solo cercare il prodotto, scegliere il metodo di spedizione durante il check-out e farlo consegnare alla tua posizione.
Domanda: Deep Learning with PyTorch: Build, train, and tune è disponibile per gli acquisti online in San Marino?

Risposta: Sì, su Ubuy San Marino questo prodotto è disponibile per gli acquisti a un prezzo ragionevole.. Il Deep Learning with PyTorch: Build, train, and tune non è disponibile localmente ma puoi fidarti di noi con i nostri servizi di spedizione espressa.
Domanda: Quanto tempo ci vuole per ottenere il prodotto dopo aver effettuato l'ordine?

Risposta: I tempi di consegna del prodotto ordinato variano in base a ciò che hai ordinato e al metodo di spedizione che hai scelto.. Il tempo di consegna stimato viene menzionato durante il processo di pagamento, quindi sii spensierato durante lo shopping.

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.

Recensioni e valutazioni dei clienti

5.0

1 valutazioni dei clienti

5 stella

100%
4 stella

0%
3 stella

0%
2 stella

0%
1 stella

0%

Recensisci questo prodotto

Condividi le tue impressioni con altri clienti

Vantaggi

Comprehensive introduction to PyTorch and deep learning
Thorough explanation of concepts with illustrations and graphs
Provides good starting point for beginners

Contro

Lacking a chapter on language models and attention

Cronologia dei prezzi del prodotto

Informazioni importanti

Limitazioni: per i prodotti spediti a livello internazionale, si prega di notare che ogni garanzia del produttore potrebbe non essere valida, le opzioni di assistenza del produttore potrebbero non essere disponibili, i manuali del prodotto, le istruzioni e gli avvisi di sicurezza potrebbero non essere nella lingua del paese di destinazione. I prodotti (e i materiali di accompagnamento) potrebbero non essere progettati in conformità con gli standard, le specifiche e i requisiti di etichettatura del paese di destinazione e i prodotti potrebbero non essere conformi alla tensione di rete del paese di destinazione e ad altri standard elettrici (richiedendo l'uso di un adattatore o di un trasformatore, se necessario). Il destinatario è responsabile di assicurare che il prodotto possa essere legalmente importato nel paese di destinazione. Quando si ordina da Ubuy o dai suoi affiliati, il destinatario è l'importatore registrato ed è tenuto a rispettare tutte le leggi e i regolamenti del paese di destinazione.
Non tutti i prodotti elencati su Ubuy sono in vendita, poiché Ubuy è un motore di ricerca globale. I prodotti sono soggetti a regolamenti di esportazione/commercio.

€ 55

~~€ 61~~

Ordina subito e ricevilo entro Monday, Ottobre 26

Qtà:

Transazione sicura

Conforme allo standard PCI DSS e certificato ISO 27001:2022, con pagamenti crittografati e piena protezione dell'acquirente su ogni ordine.

I nostri principali partner logistici

Consegna transfrontaliera più rapida

Caratteristiche e benefici

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

Garanzia Ubuy

Vivi un'esperienza di shopping senza pensieri con prodotti 100% originali, sicurezza dei pagamenti conforme allo standard PCI DSS, protezione dei dati certificata ISO 27001, la consegna internazionale più rapida, resi gratuiti, e imballaggio sicuro su ogni ordine.*

Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools

€ 55

Consegna veloce

Reso gratuito*

Imballaggio sicuro

Prodotti originali al 100%

Conformità PCI DSS

Certificazione ISO 27001

Cosa salta all'occhio

Dettagli del prodotto

A chi è consigliato?

DESCRIZIONE DEL PRODOTTO

About This Item

Domande e risposte dei clienti

Intelligence & Semantics Editorial Review

Recensioni e valutazioni dei clienti

Recensisci questo prodotto

Vantaggi

Contro

Cronologia dei prezzi del prodotto

Informazioni importanti

€ 55

Caratteristiche e benefici

Garanzia Ubuy

Consegna
veloce

Reso
gratuito^*