Titlebook: Applied Deep Learning; Tools, Techniques, a Paul Fergus,Carl Chalmers Textbook 2022 Springer Nature Switzerland AG 2022 Deep Learning.Machi

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Deep Learning Techniques for Time Series Modellingbased data. Time series data plays a significant part in our daily lives. From predicting stocks and shares in the stock market to monitoring the vital statistics of a patient and determining medical outcomes. There are many prediction problems and a common component between them all is time. Some o

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Deep Generative Modelslly, the chapter will introduce Autoencoders (AEs) which are primarily used for dimensionality and noise reduction and are a powerful tool in signal processing, image analysis and NLP. The chapter also discusses Generative Adversarial Networks (GANs) which facilitates the synthetic generation of com

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