The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets
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The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets
The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets
зүйлийн дугаар: 47771768

The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets

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зүйлийн дугаар: 47771768

MNT 175422

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Publisher Packt Publishing
Publication date December 15, 2021
Language English
Print length 600 pages
ISBN-10 1800205252
ISBN-13 978-1800205253
Item Weight 2.35 pounds (1.07 kg)
Dimensions 7.5 x 1.36 x 9.25 inches (19.1 x 3.5 x 23.5 cm)

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The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets

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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. ###

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Давуу тал

  • 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. ###

Сул талууд

  • Limited theoretical background on neural networks.

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MNT 175422

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