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From Scratch eBook Series

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  • Build a Large Language Model (From Scratch)

    by Sebastian Raschka ...
    Series series From Scratch
    How to implement LLM attention mechanisms and GPT-style transformers.In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks ... Read more

    $49.99 USD

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  • Designing Machine Learning Systems

    An Iterative Process for Production-Ready Applications

    by Chip Huyen ...
    Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments ... Read more

    $41.09 USD

    Also available as: Audiobook

    Also available as: Audiobook

  • Machine Learning with PyTorch and Scikit-Learn

    Develop machine learning and deep learning models with Python

    by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili ...
    This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn applied machine learning with a solid foundation in theoryClear, intuitive explanations take you deep into the theory and practice ... Read more

    $39.99 USD or Free with Kobo Plus

  • Artificial Intelligence with Python

    A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

    by Prateek Joshi ...
    Publisher's Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries. A new edition completely updated and revised for 2020 with seven additional chapters that cover RNNs, AI and big data, fundamental use cases, chatbots, and more, is now available. Build real-world Artificial Intelligence applications with Python to ... Read more

    $41.39 USD or Free with Kobo Plus

  • Python Machine Learning, Second Edition

    Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow

    by Sebastian Raschka, Vahid Mirjalili, Jared Huffman, Ryan Sun ...
    Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the ... Read more

    $34.19 USD or Free with Kobo Plus

  • Deep Learning with TensorFlow and Keras

    Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition

    by Amita Kapoor, Antonio Gulli, Sujit Pal, Francois Chollet ...
    Build cutting edge machine and deep learning systems for the lab, production, and mobile devices.Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesImplement graph neural networks, transformers using Hugging Face and TensorFlow Hub, and joint and ... Read more

    $35.99 USD or Free with Kobo Plus

  • Python: Real World Machine Learning

    by Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti ...
    Learn to solve challenging data science problems by building powerful machine learning models using PythonAbout This BookUnderstand which algorithms to use in a given context with the help of this exciting recipe-based guideThis practical tutorial tackles real-world computing problems through a rigorous and effective approachBuild state-of-the-art models and develop personalized recommendations to ... Read more

    $64.79 USD or Free with Kobo Plus

  • Deep Learning with TensorFlow 2 and Keras

    Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API

    by Antonio Gulli, Amita Kapoor, Sujit Pal ...
    Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning techniquesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesBook DescriptionDeep ... Read more

    $27.89 USD or Free with Kobo Plus

  • Deep Learning with Keras

    Implementing deep learning models and neural networks with the power of Python

    by Antonio Gulli, Sujit Pal ...
    Get to grips with the basics of Keras to implement fast and efficient deep-learning modelsKey FeaturesImplement various deep learning algorithms in Keras and see how deep learning can be used in gamesSee how various deep learning models and practical use-cases can be implemented using KerasA practical, hands-on guide with real-world examples to give you a strong foundation in KerasBook ... Read more

    $41.39 USD or Free with Kobo Plus

  • Modern Computer Vision with PyTorch

    Explore deep learning concepts and implement over 50 real-world image applications

    by V Kishore Ayyadevara, Yeshwanth Reddy ...
    Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questionsKey FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand the theory and working mechanisms of neural network architectures and their implementationDiscover best practices using a custom library created ... Read more

    $43.19 USD or Free with Kobo Plus

  • Deep Learning with PyTorch

    A practical approach to building neural network models using PyTorch

    by Vishnu Subramanian ...
    Build neural network models in text, vision and advanced analytics using PyTorchKey FeaturesLearn PyTorch for implementing cutting-edge deep learning algorithms.Train your neural networks for higher speed and flexibility and learn how to implement them in various scenarios;Cover various advanced neural network architecture such as ResNet, Inception, DenseNet and more with practical examples;Book ... Read more

    $34.19 USD or Free with Kobo Plus

  • Hands-On Computer Vision with TensorFlow 2

    Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras

    by Eliot Andres, Benjamin Planche ...
    A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and moreKey FeaturesDiscover how to build, train, and serve your own deep neural networks with TensorFlow 2 and KerasApply modern solutions to a wide range of applications such as object detection and video analysisLearn how to run your models on mobile devices and ... Read more

    $27.89 USD or Free with Kobo Plus