Titlebook: Deep Learning for NLP and Speech Recognition; Uday Kamath,John Liu,James Whitaker Textbook 2019 Springer Nature Switzerland AG 2019 Deep L

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Peter Imbusch,Wilhelm Heitmeyertarget. As an example, consider a model that has learned to classify reviews on electronic products for positive and negative sentiments, and is used for classifying the reviews for hotel rooms or movies. The task of sentiment analysis remains the same, but the domain (electronics and hotel rooms) h

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The Stoics on the Education of Desirehat deals with how agents learn a set of actions that can maximize expected cumulative reward. In past research, reinforcement learning has focused on game play. Recent advances in deep learning have opened up reinforcement learning to wider applications for real-world problems, and the field of dee

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Matteo Cesana,Alessandro E. C. RedondiThe goal of this chapter is to review basic concepts in machine learning that are applicable or relate to deep learning. As it is not possible to cover every aspect of machine learning in this chapter, we refer readers who wish to get a more in-depth overview to textbooks, such as . [.] and . [.].

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