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  • The TensorFlow Workshop

    A hands-on guide to building deep learning models from scratch using real-world datasets

    Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activitiesKey FeaturesUnderstand the fundamentals of tensors, neural networks, and deep learningDiscover how to implement and fine-tune deep learning models for real-world datasetsBuild your experience and confidence with hands-on exercises and activitiesBook ... Leer más

    $30.99 USD o gratis con Kobo Plus

  • The Deep Learning with Keras Workshop

    Learn how to define and train neural network models with just a few lines of code

    Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning modelsKey FeaturesGet to grips with various model evaluation metrics, including sensitivity, specificity, and AUC scoresExplore advanced concepts such as sequential memory and sequential modelingReinforce your skills with real-world development, screencasts, and ... Leer más

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  • Applied Deep Learning with Keras

    Solve complex real-life problems with the simplicity of Keras

    Take your neural networks to a whole new level with the simplicity and modularity of Keras, the most commonly used high-level neural networks API.Key FeaturesSolve complex machine learning problems with precisionEvaluate, tweak, and improve your deep learning models and solutionsUse different types of neural networks to solve real-world problemsBook DescriptionThough designing neural networks is a ... 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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  • Machine Learning with PyTorch and Scikit-Learn

    Develop machine learning and deep learning models with Python

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  • Deep Learning with TensorFlow 2 and Keras

    Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API

    Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning techniquesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesBook DescriptionDeep ... Leer más

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  • Deep Learning with Keras

    Implementing deep learning models and neural networks with the power of Python

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  • Hands-On Computer Vision with TensorFlow 2

    Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras

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    Learn to solve challenging data science problems by building powerful machine learning models using PythonAbout This BookUnderstand which algorithms to use in a given context with the help of this exciting recipe-based guideThis practical tutorial tackles real-world computing problems through a rigorous and effective approachBuild state-of-the-art models and develop personalized recommendations to ... Leer más

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    Build powerful neural network architectures using advanced PyTorch 1.x features

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