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Ravichandiran Sudharsan (106 results)
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US$ 16.21
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Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT
Published by Packt Publishing (edition ), 2021
ISBN 10: 1838821597 ISBN 13: 9781838821593
Language: English
Paperback. Condition: As New. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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paperback. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.33.
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Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
US$ 19.39
Convert currencyUS$ 7.57 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.83.
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Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 4 out of 5 stars
Condition: very_good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in very good condition! The cover and any other included accessories are also in very good condition showing some minor use. The spine is straight, there are no rips tears or creases on the cover or the pages.
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Condition: Good. Shows minimal wear such as frayed or folded edges, minor rips and tears, and/or slightly worn binding. May have stickers and/or contain inscription on title page. No observed missing pages.
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paperback. Condition: New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
Published by Packt Publishing (edition ), 2018
ISBN 10: 1789534208 ISBN 13: 9781789534207
Language: English
Paperback. Condition: Very Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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US$ 39.85
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US$ 31.91
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Condition: New.
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US$ 39.25
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Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow (Paperback or Softback)
Published by Packt Publishing 6/28/2018, 2018
ISBN 10: 1788836529 ISBN 13: 9781788836524
Language: English
Paperback or Softback. Condition: New. Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow 1.21. Book.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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US$ 43.59
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US$ 43.10
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Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT (Paperback or Softback)
Published by Packt Publishing 1/22/2021, 2021
ISBN 10: 1838821597 ISBN 13: 9781838821593
Language: English
Paperback or Softback. Condition: New. Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT 1.33. Book.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Hands-On Deep Learning Algorithms with Python (Paperback)
Published by Packt Publishing Limited, Birmingham, 2019
ISBN 10: 1789344158 ISBN 13: 9781789344158
Language: English
Paperback. Condition: new. Paperback. 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 algorithmsfrom basic to advancedand 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. This book introduces basic-to-advanced deep learning algorithms used in a production environment by AI researchers and principal data scientists; it explains algorithms intuitively, including the underlying math, and shows how to implement them using popular Python-based deep learning libraries such as TensorFlow. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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US$ 50.27
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US$ 48.93
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