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    Practical Convolutional Neural Networks. Implement advanced deep learning models using Python Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Practical Convolutional Neural Networks. Implement advanced deep learning models using Python Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari - okladka książki

    Practical Convolutional Neural Networks. Implement advanced deep learning models using Python Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari - okladka książki

    Practical Convolutional Neural Networks. Implement advanced deep learning models using Python Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari - audiobook MP3

    Practical Convolutional Neural Networks. Implement advanced deep learning models using Python Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari - audiobook CD

    Autorzy:
    Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    218
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Convolutional Neural Network (CNN) is revolutionizing several application domains such as visual recognition systems, self-driving cars, medical discoveries, innovative eCommerce and more.You will learn to create innovative solutions around image and video analytics to solve complex machine learning and computer vision related problems and implement real-life CNN models.
    This book starts with an overview of deep neural networkswith the example of image classification and walks you through building your first CNN for human face detector. We will learn to use concepts like transfer learning with CNN, and Auto-Encoders to build very powerful models, even when not much of supervised training data of labeled images is available.
    Later we build upon the learning achieved to build advanced vision related algorithms for object detection, instance segmentation, generative adversarial networks, image captioning, attention mechanisms for vision, and recurrent models for vision.
    By the end of this book, you should be ready to implement advanced, effective and efficient CNN models at your professional project or personal initiatives by working on complex image and video datasets.

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    O autorach książki

    Mohit is a Python programmer with a keen interest in the field of information security. He has completed his Bachelor's degree in technology in computer science from Kurukshetra University, Kurukshetra, and a Master’s in engineering (2012) in computer science from Thapar University, Patiala. He is a CEH, ECSA from EC-Council USA. He has worked in IBM, Teramatrix (Startup), and Sapient. He currently doing a Ph.D. from Thapar Institute of Engineering & Technology under Dr. Maninder Singh. He has published several articles in national and international magazines. He is the author of Python Penetration Testing Essentials, Python: Penetration Testing for Developers and Learn Python in 7 days, also by Packt. For more details on the author, you can check the following user name mohitraj.cs
    Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI).
    Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.
    https://www.linkedin.com/in/ppujari/

    Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari - pozostałe książki

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