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Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience.
Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
Item #: 36297262

Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

Item #: 36297262

AED 293

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    Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience.
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    What Stands Out

    Comprehensive Coverage
    Covers Neural Networks, Computer Vision, NLP, and Transformers, offering a holistic view of deep learning, essential for both beginners and advanced practitioners.
    Practical Approach
    Focuses on hands-on learning with TensorFlow, enabling learners to apply theoretical knowledge effectively and build real-world applications.
    Expert Insights
    Features insights from industry experts, ensuring the content is up-to-date and relevant, enhancing the learning experience with practical advice and advanced techniques.

    Product Details

    Shop Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow online at a best price in UAE. 0137470355
    • Complete guide to deep learning, suitable for developers, data scientists, analysts, and those with no prior machine learning or statistics experience
    • Covers essential building blocks of deep neural networks, advanced architectures, and modern networks for computer vision and natural language processing, including Mask R-CNN, GPT, and BERT
    • Provides concise, well-annotated code examples using TensorFlow with Keras, and corresponding PyTorch examples online
    • Explores core concepts like perceptrons, gradient-based learning, sigmoid neurons, back propagation, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM)
    • Master natural language processing (NLP) with sequence-to-sequence networks, the Transformer architecture, and build applications for natural language translation and image captioning
    • Includes insights into NVIDIA's contribution to accelerated computing and its impact on various industries
    Publisher Addison-Wesley Professional
    Publication date August 17, 2021
    Edition 1st
    Language English
    Print length 752 pages
    ISBN-10 0137470355
    ISBN-13 978-0137470358
    Item Weight 2.15 pounds (980 grams)
    Dimensions 7.3 x 1.1 x 9 inches (18.5 x 2.8 x 22.9 cm)

    Who Should Buy?

    Suitable For
    • Aspiring Data Scientists

      This product offers foundational knowledge in deep learning, suitable for those pursuing careers in data science.

    • AI Enthusiasts

      Individuals interested in AI and machine learning will benefit from the comprehensive insights provided in this book.

    • Students and Educators

      Ideal for university courses, this book can serve as a valuable resource for students and instructors alike.

    Not Suitable For
    • Beginners in Programming

      Those without programming experience may struggle with the book’s technical depth and TensorFlow applications.

    Product Description

    Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

    About This Item

    Product Description: Dive into the fascinating world of deep learning with "Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow." This comprehensive paperback is your ultimate guide to understanding and implementing deep learning techniques using the powerful TensorFlow framework. Whether you're a beginner or an experienced data scientist, this book will equip you with the knowledge and skills needed to excel in the field of deep learning. It covers a wide range of topics, including neural networks, computer vision, natural language processing, and transformers. With clear explanations and practical examples, you'll learn the theory behind deep learning algorithms and then put that knowledge into practice with hands-on exercises. You'll discover how to build and train neural networks for various tasks, such as image recognition and text classification. One of the highlights of this book is its emphasis on using TensorFlow, one of the most popular deep learning frameworks available today.

    You'll explore the features and capabilities of TensorFlow, enabling you to leverage its power in your own deep learning projects. Whether you're interested in image recognition, natural language processing, or both, this book has got you covered. It provides in-depth discussions and step-by-step examples for applying deep learning techniques to these areas. You'll gain a solid understanding of how to solve complex problems using neural networks and TensorFlow. Stay ahead of the curve and boost your deep learning skills with "Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow." Whether you're a student, researcher, or industry professional, this book is your essential resource for mastering the world of deep learning.

    Get your copy now and unlock the potential of deep learning.

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    Neural Networks Editorial Review

    Learning Deep Learning is a well-written and comprehensive book that perfectly blends math, code, and practical examples to help readers understand the basics of neural networks, computer vision, natural language processing, and transformers using TensorFlow. The author, Magnus Ekman, has done an excellent job of explaining complex concepts of deep learning in a clear and easy-to-understand manner. The book covers a wide range of applications from vision to MLP, making it ideal for AI practitioners who want to keep up with the recent developments in deep learning techniques. Although the book may feel a bit rushed in some parts, it is still a fantastic resource for anyone who is new to the world of deep learning or wants to expand their knowledge in this field.

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    Pros

    • Excellent mix of dialog, math, and code
    • Comprehensive coverage of deep learning concepts
    • Suitable for AI practitioners who want to learn recent developments in deep learning techniques
    • Clear and easy-to-understand explanations
    • Covers a wide range of applications from vision to MLP

    Cons

    • Some parts of the book may feel a bit rushed

    Product Price History

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