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  Echtzeit-Objekterkennung mit Deep Learning. Implementierung eines Convolutional Neural Network basierten Detektors zur Qualitätskontrolle

  Echtzeit-Objekterkennung mit Deep Learning. Implementierung eines Convolutional Neural Network basierten Detektors zur Qualitätskontrolle ab 39.99 € als Taschenbuch: . Aus dem Bereich: Bücher, Wissenschaft, Wirtschaftswissenschaft,

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  Echtzeit-Objekterkennung mit Deep Learning. Implementierung eines Convolutional Neural Network basierten Detektors zur Qualitätskontrolle

  Echtzeit-Objekterkennung mit Deep Learning. Implementierung eines Convolutional Neural Network basierten Detektors zur Qualitätskontrolle ab 29.99 € als pdf eBook: 1. Auflage. Aus dem Bereich: eBooks, Belletristik, Erzählungen,

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  • Price: 29.99 EUR excl. shipping
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  The usage of FPGAs for the acceleration of Convolutional Neuronal Nets (CNNs) with OpenCL. Two alternatives for implementation

  The usage of FPGAs for the acceleration of Convolutional Neuronal Nets (CNNs) with OpenCL. Two alternatives for implementation ab 12.99 € als pdf eBook: . Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet,

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  • Price: 12.99 EUR excl. shipping
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  Get Started with the MAX78000FTHR Development Board (eBook, PDF)

  The MAX78000FTHR from Maxim Integrated is a small development board based on the MAX78000 MCU. The main usage of this board is in artificial intelligence applications (AI) which generally require large amounts of processing power and memory. It marries an Arm Cortex-M4 processor with a floating-point unit (FPU), convolutional neural network (CNN) accelerator, and RISC-V core into a single device. It is designed for ultra-low power consumption, making it ideal for many portable AI-based applications. This book is project-based and aims to teach the basic features of the MAX78000FTHR. It demonstrates how it can be used in various classical and AI-based projects. Each project is described in detail and complete program listings are provided. Readers should be able to use the projects as they are, or modify them to suit their applications. This book covers the following features of the MAX78000FTHR microcontroller development board: > Onboard LEDs and buttons > External LEDs and buttons > Using analog-to-digital converters > I2C projects > SPI projects > UART projects > External interrupts and timer interrupts > Using the onboard microphone > Using the onboard camera > Convolutional Neural Network (CNN) > Artificial Intelligence projects

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  • Price: 27.99 EUR excl. shipping
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  Deep Learning with Keras: Introduction to Deep Learning with Keras , Hörbuch, Digital, ungekürzt, 150min

  This book will introduce you to various deep learning models in Keras, and you will see how different neural networks can be used in real-world examples, as well as in various scientific fields. You will explore various Keras algorithms like the simplest linear regression or more complex deep convolutional networks. You will get to know what the difference between supervised and unsupervised deep learning is, and you will be able to implement various algorithms in Keras by yourself as you follow this step-by-step guide in this book. You will explore various applications of deep learning models such as speech recognition systems, natural language processing and video game development. A whole new world will open in front of you. By the time you reach the final minute of this book, you will be a Keras expert and ready for your deep-learning projects. There is so much to learn in this book about deep learning with Keras, and I do invite you to grab your copy today and get started! By listening to this book you will discover: Deep neural network Neural network elements Keras models Sequential model Functional API model Keras layers Core Keras layers Convolutional Keras layers Recurrent Keras layers Deep learning algorithms Supervised learning algorithms Applications of deep learning models Automatic speech and image recognition Natural language processing Video game development Real world applications And of course, much more! Get this book today, and learn more about deep learning with Keras! ungekürzt. Language: English. Narrator: William Bahl. Audio sample: https://samples.audible.de/bk/acx0/096043/bk_acx0_096043_sample.mp3. Digital audiobook in aax.

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  SEGMENTATION OF BRAIN TUMOR BASED ON MRI

  SEGMENTATION OF BRAIN TUMOR BASED ON MRI ab 39.99 € als Taschenbuch: USING CONVOLUTIONAL NEURAL NETWORKS. Aus dem Bereich: Bücher, Ratgeber, Computer & Internet,

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  Quantum Error Correction

  Quantum Error Correction ab 60.99 € als pdf eBook: Symmetric Asymmetric Synchronizable and Convolutional Codes. Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Technik,

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  • Price: 60.99 EUR excl. shipping
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  Advanced Applied Deep Learning

  Advanced Applied Deep Learning ab 35.49 € als Taschenbuch: Convolutional Neural Networks and Object Detection. 1st ed. Aus dem Bereich: Bücher, Ratgeber, Computer & Internet,

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  • Price: 35.49 EUR excl. shipping
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  Quantum Error Correction

  Quantum Error Correction ab 85.49 € als gebundene Ausgabe: Symmetric Asymmetric Synchronizable and Convolutional Codes. 1st ed. 2020. Aus dem Bereich: Bücher, Wissenschaft, Physik,

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  Hands-on Machine Learning with Python (eBook, PDF)

  Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios. The book is divided into three sections. The first section introduces you to number crunching and data analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and visualizations. The second section covers machine learning basics and Scikit-learn library. It also explains supervised learning, unsupervised learning, implementation, and classification of regression algorithms, and ensemble learning methods in an easy manner with theoretical and practical lessons. The third section explains complex neural network architectures with details on internal working and implementation of convolutional neural networks. The final chapter contains a detailed end-to-end solution with neural networks in Pytorch. After completing Hands-on Machine Learning with Python, you will be able to implement machine learning and neural network solutions and extend them to your advantage. What You'll LearnReview data structures in NumPy and Pandas Demonstrate machine learning techniques and algorithmUnderstand supervised learning and unsupervised learning Examine convolutional neural networks and Recurrent neural networksGet acquainted with scikit-learn and PyTorchPredict sequences in recurrent neural networks and long short term memory Who This Book Is For Data scientists, machine learning engineers, and software professionals with basic skills in Python programming.

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  • Price: 35.95 EUR excl. shipping

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