Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow
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Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow
Master basic to advanced deep learning algorithms and their mathematical principles using TensorFlow
Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow
منتج #: 45304811

Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow

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منتج #: 45304811

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Master basic to advanced deep learning algorithms and their mathematical principles using TensorFlow
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Comprehensive Learning
This book offers a thorough understanding of deep learning algorithms, combining mathematical insights with practical implementation using TensorFlow to ensure a solid foundation for learners at all levels.
Hands-On Approach
By focusing on hands-on projects, readers can apply theoretical concepts directly, fostering deeper learning and retention, while gaining practical experience in building and deploying deep learning models.
Expert Guidance
Authored by experienced professionals, the book provides clear explanations, advanced tips, and best practices, making complex topics accessible and applicable for both beginners and seasoned practitioners in deep learning.

تفاصيل المنتج

Explore extensive math and implement deep learning algorithms using TensorFlow. Become a deep learning expert with Hands-On Deep Learning Algorithms with Python from Ubuy قطر.
  • Understand basic to advanced deep learning algorithms, the mathematical principles behind them, and their practical applications.Key FeaturesGet up-to-speed with building your own neural networks from scratch Gain insights into the mathematical principles behind deep learning algorithmsImplement popular deep learning algorithms such as CNNs, RNNs, and more using TensorFlowBook DescriptionDeep learning is one of the most popular domains in the AI space, allowing you to develop multi-layered models of varying complexities. This book introduces you to popular deep learning algorithms-from basic to advanced-and shows you how to implement them from scratch using TensorFlow. Throughout the book, you will gain insights into each algorithm, the mathematical principles behind it, and how to implement it in the best possible manner. The book starts by explaining how you can build your own neural networks, followed by introducing you to TensorFlow, the powerful Python-based library for machine learning and deep learning. Moving on, you will get up to speed with gradient descent variants, such as NAG, AMSGrad, AdaDelta, Adam, and Nadam. The book will then provide you with insights into RNNs and LSTM and how to generate song lyrics with RNN. Next, you will master the math for convolutional and capsule networks, widely used for image recognition tasks. Then you learn how machines understand the semantics of words and documents using CBOW, skip-gram, and PV-DM. Afterward, you will explore various GANs, including InfoGAN and LSGAN, and autoencoders, such as contractive autoencoders and VAE. By the end of this book, you will be equipped with all the skills you need to implement deep learning in your own projects.What you will learnImplement basic-to-advanced deep learning algorithmsMaster the mathematics behind deep learning algorithmsBecome familiar with gradient descent and its variants, such as AMSGrad, AdaDelta, Adam, and NadamImplement recurrent networks, such as RNN, LSTM, GRU, and seq2seq modelsUnderstand how machines interpret images using CNN and capsule networksImplement different types of generative adversarial network, such as CGAN, CycleGAN, and StackGANExplore various types of autoencoder, such as Sparse autoencoders, DAE, CAE, and VAEWho this book is forIf you are a machine learning engineer, data scientist, AI developer, or simply want to focus on neural networks and deep learning, this book is for you. Those who are completely new to deep learning, but have some experience in machine learning and Python programming, will also find the book very helpful.Table of ContentsIntroduction to Deep LearningGetting to know TensorflowGradient Descent and its variantsGenerating song lyrics using RNNImprovements to the RNNDemystifying Convolutional networksRepresentation learning using word embeddingsGenerative adversarial networksMore About GANsAutoencodersFew shot learnings
Publisher Packt Publishing
Publication date July 25, 2019
Language English
Print length 512 pages
ISBN-10 1789344158
ISBN-13 978-1789344158
Item Weight 2.06 pounds (930 grams)
Dimensions 7.5 x 1.16 x 9.25 inches (19.1 x 2.9 x 23.5 cm)

من يجب أن يشتري؟

Suitable For
  • Aspiring Data Scientists

    Ideal for individuals looking to deepen their understanding of deep learning and practical applications using TensorFlow.

  • Academic Researchers

    Useful for researchers needing to implement deep learning algorithms for experiments or papers with a strong mathematical foundation.

  • Practical Coders

    Perfect for programmers seeking hands-on experience with deep learning concepts and the implementation of algorithms in Python.

Not Suitable For
  • Complete Beginners

    Not suitable for those without any background in programming or basic machine learning concepts and terminology.

وصف المنتج

About This Item

Are you ready to delve into the world of deep learning algorithms? Look no further than "Hands-On Deep Learning Algorithms with Python." This comprehensive guide will help you master the intricacies of deep learning algorithms by implementing them using TensorFlow. Whether you're a beginner or an experienced programmer, this book is designed to cater to all skill levels. With extensive mathematical explanations, you'll gain a solid understanding of the theory behind deep learning algorithms.

What sets this book apart is its hands-on approach. You'll find practical examples and step-by-step instructions to help you implement the algorithms using Python. By working through the exercises, you'll not only enhance your theoretical knowledge but also gain practical experience. With "Hands-On Deep Learning Algorithms with Python," you'll explore various popular deep learning algorithms and learn how to apply them to real-world scenarios.

Whether you're interested in computer vision, natural language processing, or predictive analytics, this book covers it all. The use of TensorFlow, a powerful open-source library for deep learning, enhances the learning experience. You'll learn how to leverage its capabilities to build, train, and evaluate neural networks. Stay ahead of the curve and become an expert in deep learning algorithms with this invaluable resource.

Order your copy of "Hands-On Deep Learning Algorithms with Python" today and unlock the potential of deep learning for your projects. Keywords: Deep Learning Algorithms, Deep Learning Algorithms with Python, extensive math TensorFlow, Hands-On Deep Learning Algorithms, Hands-On Deep Learning Algorithms with Python, Ubuy, Ubuy Deep Learning, Ubuy Deep Learning Algorithms, Ubuy Deep Learning Algorithms with Python, Ubuy extensive math, Ubuy extensive math TensorFlow, Ubuy Hands-On Deep Learning, Ubuy Hands-On Deep Learning Algorithms, Ubuy Hands-On Deep Learning Algorithms with Python, Ubuy Python.

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    إجابه: من السهل التسوق في Hands-On Deep Learning Algorithms with Python: عبر الإنترنت من يوباي. كل ما عليك فعله هو البحث عن المنتج واختيار طريقة الشحن الخاصة بك أثناء الدفع وسيتم توصيله الى عنوانك
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    إجابه: نعم ، في يوباي Qatar هذا المنتج متاح لك للتسوق بسعر مناسب. Hands-On Deep Learning Algorithms with Python: غير متوفر محليًا ولكن يمكنك الوثوق بنا بخدماتنا للشحن السريع.
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Computers & Technology Editorial Review

Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow offers readers an in-depth understanding of deep learning concepts through practical exercises. Published by Packt Publishing, this 512-page book balances theoretical foundations with hands-on TensorFlow implementations, making complex topics approachable for developers. The book serves as a vital resource for those looking to enhance their skills in deep learning with a solid mathematical base, catering to a range of experience levels while promoting an engaging learning experience.

مراجعات العملاء وتقييماتهم

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إيجابيات

  • Extensive math concepts explored thoroughly
  • Practical TensorFlow implementations provided
  • Suitable for various skill levels
  • Well-structured and easy to follow
  • Published by a reputable source

سلبيات

  • The book is quite lengthy for some readers

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المميزات والفوائد

  • Build your own neural networks from scratch
  • Implement popular algorithms such as CNNs, RNNs, and more
  • Understand gradient descent and its variants
  • Explore GANs and autoencoders
  • Learn how to interpret images using convolutional and capsule networks
  • Apply deep learning to your own projects

ضمان Ubuy

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