- Page d'accueil /
- Livres /
- Ordinateurs et technologie /
- Informatique /
- AI & Machine Learning /
- Intelligence & Semantics /
- The TensorFlow Workshop: A hands-on guide to ...
0 ratings
Numéro d'article:
47771768
The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets
Numéro d'article:
47771768
XOF 52454
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from États-Unis
0 ratings
Écrire un commentaire
En stock
Importé depuis la boutique USA
QTY:
Commandez maintenant et recevez votre commande aux alentours du Mercredi, Juin 24
Transaction sécurisée
Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.
nos meilleurs partenaires logistiques
Combining clear explanations, realistic examples, and plenty of hands-on practice, it'll quickly get you up and running.
Livraison
rapide
Retour
gratuit*
Emballage sécurisé
Produits 100 % originaux
Conformité PCI DSS
Certifié ISO 27001
Note: Step Down Voltage Transformer required for using electronics products of États-Unis store (110-120). Recommended power converters Acheter maintenant.
Ce qui se démarque
Hands-on Learning
Engages learners through practical exercises, enhancing understanding of deep learning concepts while building real-world models, perfect for beginners and experienced programmers alike.
Real-world Datasets
Utilizes authentic datasets to teach model building, ensuring learners gain applicable skills and insights, making the knowledge directly relevant to industry applications.
Comprehensive Guide
Covers deep learning from fundamentals to advanced techniques, providing an exhaustive walkthrough for readers looking to master TensorFlow by creating their own models.
Détails du produit
| Item Weight | 1.2 lbs (540 grams) |
À qui est-ce destiné ?
-
Aspiring Data Scientists
Perfect for individuals seeking hands-on experience in deep learning and practical applications using TensorFlow.
-
Developers Transitioning to AI
Great for software developers wanting to expand their skills into machine learning and artificial intelligence domains.
-
Educators and Trainers
Useful for educators looking for a structured way to teach deep learning concepts through practical projects.
-
Complete Beginners
Not suited for those with no prior programming or machine learning experience, as it requires foundational knowledge.
-
Advanced Researchers
Might not satisfy advanced researchers looking for cutting-edge theories, as it focuses more on practical applications.
-
Casual Learners
Not ideal for casual learners seeking quick overviews, as it demands hands-on engagement and commitment.
DESCRIPTION DU PRODUIT
The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets
About This Item
Get ready to take your deep learning skills to the next level with The TensorFlow Workshop! This hands-on guide is your ticket to mastering the art of building powerful deep learning models from scratch using real-world datasets. Whether you're an online retailer, e-commerce business, or simply looking to enhance your online store, this workshop is your key to unlocking the full potential of TensorFlow in the e-commerce realm. Dive into practical applications and implementation strategies that will revolutionize the way you analyze real-world datasets and optimize your e-commerce performance. With The TensorFlow Workshop, you'll gain invaluable insights into leveraging deep learning models to elevate your online retail experience. Don't miss out on this opportunity to explore the endless possibilities of real-world datasets and revolutionize the way you do business online.
Take your e-commerce game to the next level with The TensorFlow Workshop today!.
Vous avez une question ? Chattez avec nous
Questions et réponses des clients
-
question:
What prior knowledge is required for this book?
répondre: Basic knowledge of Python programming and its libraries, as well as a general understanding of the fundamentals of data science and machine learning. -
question:
What types of data processing are covered in this book?
répondre: The book covers pre-processing a wide variety of tabular, sequential, and image data. -
question:
What are some of the real-world applications covered in the book?
répondre: Real-world deep learning applications such as text encoding, temperature forecasting, image augmentation, and audio processing are covered.
Intelligence & Semantics Editorial Review
## Editorial Review of "The TensorFlow Workshop" "The TensorFlow Workshop" serves as a practical resource for those interested in diving into the intricacies of TensorFlow without getting overwhelmed by complex theoretical underpinnings. Designed primarily for newcomers to TensorFlow — but not necessarily to data science or machine learning as a whole — the book adeptly avoids excessive theory, focusing instead on an engineering-based approach that's much more hands-on. This makes it particularly suitable for individuals looking to develop practical deep learning models quickly. The structure of the book is well-crafted, with early chapters laying a solid foundation around the essentials of TensorFlow 2.x, including tensors, optimization, activation functions, and data processing. The pedagogy shines through in the practical examples that encourage readers to engage actively with the content rather than merely copying code. Readers are equipped with valuable resources such as TensorBoard and TensorFlow Hub, which further enhance the learning experience. While the book excels in offering a clear guide through various project types, there are thematic gaps that some users noted. The discussions on convolutional neural networks (CNNs) and recurrent neural networks (RNNs) could benefit from more updated techniques, such as attention mechanisms and transformer models. Although intended for beginners, the absence of thorough explanations about how models function mathematically might leave some readers lacking the ability to troubleshoot or innovate beyond the examples provided. In addition, although the book covers a respectable range of topics, more advanced features of TensorFlow — such as the handling of unstructured data or reinforcement learning — could be seen as missed opportunities. Nevertheless, for those willing to put in the work of coding alongside the guidance provided, this book stands as an invaluable first step in mastering TensorFlow. Overall, "The TensorFlow Workshop" is an excellent guide for those eager to familiarize themselves with TensorFlow and explore its capabilities to develop various machine learning models. It offers a hands-on approach that is both instructive and engaging, making it a worthy addition to the libraries of budding machine learning practitioners. ###
Avis et évaluations clients
1 évaluations des clients
-
5 étoile
0%
-
4 étoile
100%
-
3 étoile
0%
-
2 étoile
0%
-
1 étoile
0%
Donnez votre avis sur ce produit
Partagez votre avis avec d'autres clients
Avantages
- Practical focus on building deep learning models.
- Hands-on approach encourages active coding and problem-solving.
- Well-structured chapters covering essential TensorFlow components.
- Good range of projects from computer vision to NLP.
- Clear step-by-step instructions with ample examples. ###
Les inconvénients
- Limited theoretical background on neural networks.
Historique des prix du produit
Informations importantes
- Limitations : Pour les produits expédiés à l'international, veuillez noter que toute garantie du fabricant peut ne pas être valide ; les options de service du fabricant peuvent ne pas être disponibles ; les manuels, instructions et avertissements de sécurité des produits peuvent ne pas être dans les langues du pays de destination ; les produits (et les matériaux qui les accompagnent) peuvent ne pas être conçus conformément aux normes, spécifications et exigences d'étiquetage du pays de destination ; et les produits peuvent ne pas être conformes à la tension et aux autres normes électriques du pays de destination (nécessitant l'utilisation d'un adaptateur ou d'un convertisseur le cas échéant). Il incombe au destinataire de s'assurer que le produit peut être importé légalement dans le pays de destination. En cas de commande auprès d'Ubuy ou de ses filiales, le destinataire est l'importateur officiel et doit se conformer à toutes les lois et réglementations du pays de destination.
- Tous les produits listés sur Ubuy ne sont pas à vendre, Ubuy étant un moteur de recherche mondial. Les produits sont soumis aux réglementations en matière d'exportation et de commerce.
XOF 52454
Commandez maintenant et recevez votre commande aux alentours du Mercredi, Juin 24
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:
Transaction sécurisée
Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.
nos meilleurs partenaires logistiques
Livraison transfrontalière la plus rapide
Caractéristiques et avantages
- Understand the fundamentals of tensors, neural networks, and deep learning
- Discover how to implement and fine-tune deep learning models for real-world datasets
- Build your experience and confidence with hands-on exercises and activities
- Learn to work with different types of neural networks and apply them to real-world applications
- Gain skills to tackle ambitious deep learning projects with TensorFlow