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    R Deep Learning Projects. Master the techniques to design and develop neural network models in R

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    R Deep Learning Projects. Master the techniques to design and develop neural network models in R Yuxi (Hayden) Liu, Pablo Maldonado - okładka ebooka

    R Deep Learning Projects. Master the techniques to design and develop neural network models in R Yuxi (Hayden) Liu, Pablo Maldonado - okładka ebooka

    R Deep Learning Projects. Master the techniques to design and develop neural network models in R Yuxi (Hayden) Liu, Pablo Maldonado - okładka audiobooka MP3

    R Deep Learning Projects. Master the techniques to design and develop neural network models in R Yuxi (Hayden) Liu, Pablo Maldonado - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    258
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    ePub
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    Ebook

    109,00 zł

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    Do przechowalni

    R is a popular programming language used by statisticians and mathematicians for statistical analysis, and is popularly used for deep learning. Deep Learning, as we all know, is one of the trending topics today, and is finding practical applications in a lot of domains.
    This book demonstrates end-to-end implementations of five real-world projects on popular topics in deep learning such as handwritten digit recognition, traffic light detection, fraud detection, text generation, and sentiment analysis. You'll learn how to train effective neural networks in R—including convolutional neural networks, recurrent neural networks, and LSTMs—and apply them in practical scenarios. The book also highlights how neural networks can be trained using GPU capabilities. You will use popular R libraries and packages—such as MXNetR, H2O, deepnet, and more—to implement the projects.
    By the end of this book, you will have a better understanding of deep learning concepts and techniques and how to use them in a practical setting.

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    O autorach ebooka

    Yuxi (Hayden) Liu rozwija modele uczenia maszynowego w Google. Wcześniej pracował naukowo nad zastosowaniami uczenia maszynowego w takich dziedzinach jak reklama internetowa i cyberbezpieczeństwo. Jest entuzjastą edukacji i autorem wielu książek o uczeniu maszynowym. Pierwsze wydanie tego podręcznika zajmowało wiodącą pozycję w rankingu Amazona w latach 2017 i 2018.

    Pablo Maldonado is an applied mathematician and data scientist who has had a taste for software development since his days of programming BASIC on a Tandy 1000. As an academic and business consultant, he spends a great deal of his time building applied artificial intelligence solutions for text analytics, sensor and transactional data, and reinforcement learning. Pablo earned his Ph.D. in applied mathematics (with a focus on mathematical game theory) at the Universite Pierre et Marie Curie in Paris, France.

    Yuxi (Hayden) Liu, Pablo Maldonado - pozostałe książki

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