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    Advanced Deep Learning with R. Become an expert at designing, building, and improving advanced neural network models using R

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Autor:
    Bharatendra Rai
    Advanced Deep Learning with R. Become an expert at designing, building, and improving advanced neural network models using R Bharatendra Rai - okladka książki

    Advanced Deep Learning with R. Become an expert at designing, building, and improving advanced neural network models using R Bharatendra Rai - okladka książki

    Advanced Deep Learning with R. Become an expert at designing, building, and improving advanced neural network models using R Bharatendra Rai - audiobook MP3

    Advanced Deep Learning with R. Become an expert at designing, building, and improving advanced neural network models using R Bharatendra Rai - audiobook CD

    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    352
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. Advanced Deep Learning with R will help you understand popular deep learning architectures and their variants in R, along with providing real-life examples for them.
    This deep learning book starts by covering the essential deep learning techniques and concepts for prediction and classification. You will learn about neural networks, deep learning architectures, and the fundamentals for implementing deep learning with R. The book will also take you through using important deep learning libraries such as Keras-R and TensorFlow-R to implement deep learning algorithms within applications. You will get up to speed with artificial neural networks, recurrent neural networks, convolutional neural networks, long short-term memory networks, and more using advanced examples. Later, you'll discover how to apply generative adversarial networks (GANs) to generate new images; autoencoder neural networks for image dimension reduction, image de-noising and image correction and transfer learning to prepare, define, train, and model a deep neural network.
    By the end of this book, you will be ready to implement your knowledge and newly acquired skills for applying deep learning algorithms in R through real-world examples.

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    O autorze książki

    Bharatendra Rai is a chairperson and professor of business analytics, and the director of the Master of Science in Technology Management program at the Charlton College of Business at UMass Dartmouth. He received a Ph.D. in industrial engineering from Wayne State University, Detroit. He received a master's in quality, reliability, and OR from Indian Statistical Institute, India. His current research interests include machine learning and deep learning applications. His deep learning lecture videos on YouTube are watched in over 198 countries. He has over 20 years of consulting and training experience in industries such as software, automotive, electronics, food, chemicals, and so on, in the areas of data science, machine learning, and supply chain management.

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