126 Results for : convolution

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    REDUCE OVERLAPPING IN MAMMOGRAPHY BY DEEP LEARNING CLASSIFICATION
    REDUCE OVERLAPPING IN MAMMOGRAPHY BY DEEP LEARNING CLASSIFICATION ab 39.99 € als Taschenbuch: USING CONVOLUTION NEURAL NETWORK. Aus dem Bereich: Bücher, Wissenschaft, Technik,
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    • Price: 39.99 EUR excl. shipping
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    Amenability of Beurling Algebra
    Amenability of Beurling Algebra ab 48.99 € als Taschenbuch: Amenability Weak and 2-Weak Amenability of Weighted Convolution Algebras. Aus dem Bereich: Bücher, Wissenschaft, Mathematik,
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    • Price: 48.99 EUR excl. shipping
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    Tensorflow Machine Learning: A Comprehensive Beginner's Guide to Learn About the Realms of Tensorflow Machine Learning from A-Z , Hörbuch, Digital, ungekürzt, 337min
    Are you interested in learning machine learning and deep learning? TensorFlow is the single most popular library available today. Offering some of the very best graph computations, TensorFlow helps data scientists in designing neural networks using a cool feature called TensorBoard. It has support for both recurrent neural networks (RNNs) and convolution, as well as parallel processing support on GPU and CPU.  While TensorFlow is an incredibly important machine and deep learning library, we also give you an introduction to three others - NumPy, Pandas, and Scikit Learn. I have produced a hands-on guide, with plenty of code examples for you to follow along with.Here’s what you will learn: What deep learning is The difference between deep learning and machine learning What TensorFlow is How to install it on Windows and Mac The basics of TensorFlow Using TensorBoard About NumPy, Scikit Learn, and Pandas About linear regression Kernel methods Building an artificial neural network using TensorFlow TensorFlow image classification TensorFlow autoencoders Much more If you are already proficient at programming in Python and are ready to take the next step into machine learning, this guide is for you. Scroll up, hit that "Buy Now" button, and set off on a brand-new machine learning journey.  ungekürzt. Language: English. Narrator: Zachary Dylan Brown. Audio sample: https://samples.audible.de/bk/acx0/196813/bk_acx0_196813_sample.mp3. Digital audiobook in aax.
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    • Price: 9.95 EUR excl. shipping
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    Probability Measures on Semigroups
    Probability Measures on Semigroups ab 138.99 € als pdf eBook: Convolution Products Random Walks and Random Matrices. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik,
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    • Price: 138.99 EUR excl. shipping
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    Digital Signal Processing Algorithms
    Digital Signal Processing Algorithms ab 213.99 € als epub eBook: Number Theory Convolution Fast Fourier Transforms and Applications. Aus dem Bereich: eBooks, Belletristik, Erzählungen,
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    • Price: 213.99 EUR excl. shipping
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    Pressure Transient Formation and Well Testing
    Pressure Transient Formation and Well Testing ab 148.99 € als epub eBook: Convolution Deconvolution and Nonlinear Estimation. Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Technik,
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    • Price: 148.99 EUR excl. shipping
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    CNN Based Person Specific Face Recognition & Detection
    CNN Based Person Specific Face Recognition & Detection ab 39.99 € als Taschenbuch: Convolution Neural Network Based Person SpecificFace Recognition & Detection. Aus dem Bereich: Bücher, Wissenschaft, Physik,
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    • Price: 39.99 EUR excl. shipping
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    Probability Measures on Semigroups
    Probability Measures on Semigroups ab 149.99 € als Taschenbuch: Convolution Products Random Walks and Random Matrices. Softcover reprint of hardcover 2nd ed. 2011. Aus dem Bereich: Bücher, Taschenbücher, Naturwissenschaft,
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    • Price: 149.99 EUR excl. shipping
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    Neural Networks and Deep Learning: Deep Learning Explained to Your Granny , Hörbuch, Digital, ungekürzt, 104min
    Ready to crank up a neural network to get your self-driving car to pick up the kids from school? Want to add "deep learning" to your LinkedIn profile? Well, hold on there.... Before you embark on your epic journey into the world of deep learning, there is basic theory to march through first! Take a step-by-step journey through the basics of Neural Networks and Deep Learning, made so simple that...even your granny could understand it! This audiobook is for beginners who want to approach the topic, but are too afraid of complex math to start! What you will gain from this audiobook: A deep understanding of how a neural network and deep learning work A basics comprehension on how to build a deep neural network from scratch What’s inside? A brief introduction to machine learning Two main types of machine learning algorithms A practical example of unsupervised learning What are neural networks? McCulloch-Pitts's neuron Types of activation function Types of network architectures Learning processes Advantages and disadvantages Let us give a memory to our neural network The example of book writing software Deep learning: the ability of learning to learn How does deep learning work? Main architectures and algorithms Main types of DNN Available frameworks and libraries Convolutional neural networks Tunnel vision Convolution The right architecture for a neural network Test your neural network ungekürzt. Language: English. Narrator: Jason R. L. Brown. Audio sample: https://samples.audible.de/bk/acx0/104561/bk_acx0_104561_sample.mp3. Digital audiobook in aax.
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    • Price: 9.95 EUR excl. shipping
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    Convolutional Neural Networks In Python: Beginner's Guide to Convolutional Neural Networks in Python , Hörbuch, Digital, ungekürzt, 130min
    This audiobook covers the basics behind convolutional neural networks by introducing you to this complex world of deep learning and artificial neural networks in a simple and easy-to-understand way. It is perfect for any beginner out there looking forward to learning more about this machine learning field.This audiobook is all about how to use convolutional neural networks for various image, object, and other common classification problems in Python. Here, we also take a deeper look into various Keras layer used for building CNNs; we take a look at different activation functions and much more, which will eventually lead you to creating highly accurate models able of performing great task results on various image classification, object classification, and other problems.Here is a preview of what you'll learn in this audiobook....Convolutional neural networks structureHow convolutional neural networks actually workConvolutional neural networks applicationsThe importance of convolution operatorDifferent convolutional neural networks layers and their importanceArrangement of spatial parametersHow and when to use stride and zero-paddingMethod of parameter sharingMatrix multiplication and its importancePooling and dense layersIntroducing non-linearity relu activation functionHow to train your convolutional neural network models using backpropagationHow and why to apply dropoutCNN model training processHow to build a convolutional neural networkGenerating predictions and calculating loss functionsHow to train and evaluate your MNIST classifierHow to build a simple image classification CNNAnd much, much more!PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. ungekürzt. Language: English. Narrator: Jon Wilkins. Audio sample: https://samples.audible.de/bk/acx0/111907/bk_acx0_111907_sample.mp3. Digital audiobook in aax.
    • Shop: Audible
    • Price: 9.95 EUR excl. shipping

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