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Summary Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language
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Key Features Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games See how
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This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classifica
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Develop Bayesian Deep Learning models to help make your own applications more robust. Key Features Learn how advanced c
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DEEP LEARNING A concise and practical exploration of key topics and applications in data science In Deep Learning: Fro
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This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in
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torch is an R port of PyTorch, one of the two most-employed deep learning frameworks in industry and research. It is als
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