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  • Make Python Talk

    Build Apps with Voice Control and Speech Recognition

    by Mark Liu ...
    A project-based book that teaches beginning Python programmers how to build working, useful, and fun voice-controlled applications.This fun, hands-on book will take your basic Python skills to the next level as you build voice-controlled apps to use in your daily life. Starting with a Python refresher and an introduction to speech-recognition/text-to-speech functionalities, you’ll soon ease into ... Read more

    $20.99 USD

  • Build a Text-to-Image Generator (from Scratch)

    by Mark Liu ...
    This book takes you step-by-step through creating your own AI models that can generate images from text. You’ll explore two methods of image generation—vision transformers and diffusion models—and learn vital AI development techniques as you go.Dive into the powerful models behind AI image generators. The best way to learn is to build something from scratch, and in this book you’ll build your very ... Read more

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  • Learn Generative AI with PyTorch

    Build GANs, transformers, and diffusion models

    by Mark Liu ...
    Learn how generative AI works by building your very own models that can write coherent text, create realistic images, and even make lifelike music.Learn Generative AI with PyTorch teaches the underlying mechanics of generative AI by building working AI models from scratch. Throughout, you’ll use the intuitive PyTorch framework that’s instantly familiar to anyone who’s worked with Python data tools ... Read more

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  • AlphaGo Simplified

    Rule-Based AI and Deep Learning in Everyday Games

    by Mark Liu ...
    May 11, 1997, was a watershed moment in the history of artificial intelligence (AI): the IBM supercomputer chess engine, Deep Blue, beat the world Chess champion, Garry Kasparov. It was the first time a machine had triumphed over a human player in a Chess tournament. Fast forward 19 years to May 9, 2016, DeepMind’s AlphaGo beat the world Go champion Lee Sedol. AI again stole the spotlight and ... Read more

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  • Machine Learning, Animated

    by Mark Liu ...
    Series series Chapman & Hall/CRC Machine Learning & Pattern Recognition
    The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand. This book eases you into basic ML concepts and summarises the learning process in three words: initialize, adjust and repeat. This is illustrated step by step with animation to show how machines learn: from initial parameter values to adjusting ... Read more

    $99.99 USD

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  • AI and Machine Learning for Coders

    If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.You'll understand how to implement the most common scenarios in machine learning, such as computer vision, ... Read more

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  • Practical Deep Learning

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    Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.If you’ve been curious about artificial intelligence and machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you ... Read more

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  • Deep Reinforcement Learning Hands-On

    Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

    Publisher\\'s Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.Key FeaturesExplore deep reinforcement learning (RL), from the first principles to ... Read more

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    SummaryDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About ... Read more

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  • Hands-On Artificial Intelligence for Beginners

    An introduction to AI concepts, algorithms, and their implementation

    Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with easeKey FeaturesEnter the world of AI with the help of solid concepts and real-world use casesExplore AI components to build real-world automated intelligenceBecome well versed with machine learning and deep learning conceptsBook DescriptionVirtual Assistants, such as Alexa and Siri, process our requests, ... Read more

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    Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow

    Learn advanced state-of-the-art deep learning techniques and their applications using popular Python librariesKey FeaturesBuild a strong foundation in neural networks and deep learning with Python librariesExplore advanced deep learning techniques and their applications across computer vision and NLPLearn how a computer can navigate in complex environments with reinforcement learningBook ... Read more

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