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  • Neural Network Methods in Natural Language Processing

    Series series Synthesis Lectures on Human Language Technologies
    Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data.The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. ... Leer más

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  • Python Machine Learning, Second Edition

    Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow

    Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the ... Leer más

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  • TensorFlow for Deep Learning

    From Linear Regression to Reinforcement Learning

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  • Collocation

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    Series series Education (R0)
    This book presents a comprehensive description of collocation, covering both the theoretical and practical background and the implications and applications of the concept as language model and analytical tool. It provides a definitive survey of currently available techniques and a detailed description of their implementation. ... Leer más

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  • NEURAL NETWORKS

    Artificial Nеurаl Nеtwоrkѕ (ANNѕ) аrе biоlоgiсаllу inspired. Specifically, thеу bоrrоw ideas frоm thе mаnnеr in whiсh the humаn brаin wоrkѕ. The humаn brаin iѕ соmроѕеd оf special сеllѕ саllеd nеurоnѕ. Eѕtimаtеѕ оf thе numbеr оf nеurоnѕ in a humаn brаin cover a widе rаngе (up tо 150 billion), аnd thеrе are mоrе thаn a hundrеd diffеrеnt kinds оf nеurоnѕ, separated intо groups called networks. Eасh ... Leer más

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  • Building Dialogue POMDPs from Expert Dialogues

    An end-to-end approach

    Series series Engineering (R0)
    This book discusses the Partially Observable Markov Decision Process (POMDP) framework applied in dialogue systems. It presents POMDP as a formal framework to represent uncertainty explicitly while supporting automated policy solving. The authors propose and implement an end-to-end learning approach for dialogue POMDP model components. Starting from scratch, they present the state, the transition ... Leer más

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  • Deep Learning Essentials

    Your hands-on guide to the fundamentals of deep learning and neural network modeling

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  • R Deep Learning Cookbook

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    Powerful, independent recipes to build deep learning models in different application areas using R librariesKey FeaturesMaster intricacies of R deep learning packages such as mxnet & tensorflowLearn application on deep learning in different domains using practical examples from text, image and speechGuide to set-up deep learning models using CPU and GPUBook DescriptionDeep Learning is the next big ... Leer más

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  • Advanced Deep Learning with Keras

    Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

    Understanding and coding advanced deep learning algorithms with the most intuitive deep learning library in existenceKey FeaturesExplore the most advanced deep learning techniques that drive modern AI resultsImplement deep neural networks, autoencoders, GANs, VAEs, and deep reinforcement learningA wide study of GANs, including Improved GANs, Cross-Domain GANs, and Disentangled Representation ... Leer más

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  • Intelligent Projects Using Python

    9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

    Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using PythonKey FeaturesA go-to guide to help you master AI algorithms and concepts8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillanceUse TensorFlow, Keras, and other Python libraries to implement smart AI applicationsBook DescriptionThis book will be a ... Leer más

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  • Machine Learning With Go

    Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language

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