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    TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey Grigorev, Rajalingappaa Shanmugamani

    (ebook) (audiobook) (audiobook) Książka w języku 1
    TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey Grigorev, Rajalingappaa Shanmugamani - okladka książki

    TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey Grigorev, Rajalingappaa Shanmugamani - okladka książki

    TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey Grigorev, Rajalingappaa Shanmugamani - audiobook MP3

    TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey Grigorev, Rajalingappaa Shanmugamani - audiobook CD

    Autorzy:
    Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey Grigorev, Rajalingappaa Shanmugamani
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
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    TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models, with very high accuracy. This book is your guide to master deep learning with TensorFlow with the help of 10 real-world projects.

    TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. You'll learn how to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing this, you will build end-to-end deep learning solutions to tackle different real-world problems in image processing, recommendation systems, stock prediction, and building chatbots, to name a few. You will also develop systems that perform machine translation and use reinforcement learning techniques to play games.

    By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow, and will be able to build and train your own deep learning models with TensorFlow confidently.

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    O autorach książki

    Abhishek Thakur is a data scientist. His focus is mainly on applied machine learning and deep learning, rather than theoretical aspects. He completed his master's in computer science at the University of Bonn in early 2014. Since then, he has worked in various industries, with a research focus on automatic machine learning. He likes taking part in machine learning competitions and has attained a third place in the worldwide rankings on the popular website Kaggle.

    Luca Massaron specjalizuje się w statystycznych analizach wieloczynnikowych, uczeniu maszynowym, statystyce, eksploracji danych i algorytmice. Pasjonuje się potencjałem, jaki drzemie w nauce o danych.

    Alexey Grigorev is a skilled data scientist, machine learning engineer, and software developer with more than 8 years of professional experience. He started his career as a Java developer working at a number of large and small companies, but after a while he switched to data science. Right now, Alexey works as a data scientist at Simplaex, where, in his day-to-day job, he actively uses Java and Python for data cleaning, data analysis, and modeling. His areas of expertise are machine learning and text mining.
    Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.

    Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey Grigorev, Rajalingappaa Shanmugamani - pozostałe książki

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