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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
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    R Deep Learning Cookbook

    Posted By: AlenMiler
    R Deep Learning Cookbook

    R Deep Learning Cookbook by Dr. PKS Prakash
    English | 4 Aug. 2017 | ISBN: 1787121089 | ASIN: B071NDMWN2 | 288 Pages | AZW3 | 6.91 MB

    Powerful, independent recipes to build deep learning models in different application areas using R libraries

    About This Book

    Master intricacies of R deep learning packages such as mxnet & tensorflow
    Learn application on deep learning in different domains using practical examples from text, image and speech
    Guide to set-up deep learning models using CPU and GPU

    Who This Book Is For

    Data science professionals or analysts who have performed machine learning tasks and now want to explore deep learning and want a quick reference that could address the pain points while implementing deep learning. Those who wish to have an edge over other deep learning professionals will find this book quite useful.

    What You Will Learn

    Build deep learning models in different application areas using TensorFlow, H2O, and MXnet.
    Analyzing a Deep boltzmann machine
    Setting up and Analysing Deep belief networks
    Building supervised model using various machine learning algorithms
    Set up variants of basic convolution function
    Represent data using Autoencoders.
    Explore generative models available in Deep Learning.
    Discover sequence modeling using Recurrent nets
    Learn fundamentals of Reinforcement Leaning
    Learn the steps involved in applying Deep Learning in text mining
    Explore application of deep learning in signal processing
    Utilize Transfer learning for utilizing pre-trained model
    Train a deep learning model on a GPU

    In Detail

    Deep Learning is the next big thing. It is a part of machine learning. It's favorable results in applications with huge and complex data is remarkable. Simultaneously, R programming language is very popular amongst the data miners and statisticians.

    This book will help you to get through the problems that you face during the execution of different tasks and Understand hacks in deep learning, neural networks, and advanced machine learning techniques. It will also take you through complex deep learning algorithms and various deep learning packages and libraries in R. It will be starting with different packages in Deep Learning to neural networks and structures. You will also encounter the applications in text mining and processing along with a comparison between CPU and GPU performance.

    By the end of the book, you will have a logical understanding of Deep learning and different deep learning packages to have the most appropriate solutions for your problems.

    Style and approach

    Collection of hands-on recipes that would act as your all-time reference for your deep learning needs