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    Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems Matthew Lamons, Rahul Kumar, Abhishek Nagaraja

    (ebook) (audiobook) (audiobook) Książka w języku angielskim
    Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems Matthew Lamons, Rahul Kumar, Abhishek Nagaraja - okladka książki

    Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems Matthew Lamons, Rahul Kumar, Abhishek Nagaraja - okladka książki

    Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems Matthew Lamons, Rahul Kumar, Abhishek Nagaraja - audiobook MP3

    Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems Matthew Lamons, Rahul Kumar, Abhishek Nagaraja - audiobook CD

    Autorzy:
    Matthew Lamons, Rahul Kumar, Abhishek Nagaraja
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    472
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.
    Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You’ll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system.
    Similarly, you’ll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you’ll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects.
    By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way

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    O autorach książki

    Matthew Lamons's background is in experimental psychology and deep learning. Founder and CEO of Skejulthe AI platform to help people manage their activities. Named by Gartner, Inc. as a "Cool Vendor" in the "Cool Vendors in Unified Communication, 2017" report. He founded The Intelligence Factory to build AI strategy, solutions, insights, and talent for enterprise clients and incubate AI tech startups based on the success of his Applied AI MasterMinds group. Matthew's global community of more than 85 K are leaders in AI, forecasting, robotics, autonomous vehicles, marketing tech, NLP, computer vision, reinforcement, and deep learning. Matthew invites you to join him on his mission to simplify the future and to build AI for good.
    Rahul Kumar has got more than 10 years of experience in the space of Data Science and Artificial Intelligence. His expertise lies in the machine learning and deep learning arena. He is known to be a seasoned professional in the area of Business Consulting and Business Problem Solving, fuelled by his proficiency in machine learning and deep learning. He has been associated with organizations such as Mercedes-Benz Research and Development

    (India), Fidelity Investments, Royal Bank of Scotland among others. He has accumulated a diverse exposure through industries like BFSI, telecom and automobile. Rahul has also got papers published in IIM and IISc Journals.
    Abhishek Nagaraja was born and raised in India. Graduated Magna Cum Laude from the University of Illinois at Chicago, United States, with a Masters Degree in Mechanical Engineering with a concentration in Mechatronics and Data Science. Abhishek specializes in Keras and TensorFlow for building and evaluation of custom architectures in deep learning recommendation models. His deep learning skills and interest span computational linguistics and NLP to build chatbots to computer vision and reinforcement learning. He has been working as a Data Scientist for Skejul Inc. building an AI-powered activity forecast engine and engaged as a Deep Learning Data Scientist with The Intelligence Factory building solutions for enterprise clients.

    Packt Publishing - inne książki

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