Abstract
In this chapter we will cover the essentials of Deep Learning to the point required in this book. We will be discussing the basic architecture of deep learning network like an MLP-DNN and its internal working. Since many of the Reinforcement Learning algorithm work on game feeds have image/video as input states, we will also cover CNN, the deep learning networks for vision in this chapter.
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© 2019 Springer Nature Singapore Pte Ltd.
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Sewak, M. (2019). Introduction to Deep Learning. In: Deep Reinforcement Learning. Springer, Singapore. https://doi.org/10.1007/978-981-13-8285-7_6
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DOI: https://doi.org/10.1007/978-981-13-8285-7_6
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