Abstract
This chapter provides a hands-on training experience on Keras in the TensorFlow library used in Jupyter Notebooks for Python. The main objective of this chapter’s content is to provide both theoretical and practical aspects of Keras and TensorFlow. Theoretical contents provide the fundamentals to understand neural networks, deep learning, convolutional neural networks, etc. Apart from this, the architectures of TensorFlow and Keras are explained to simplify the prior knowledge needed to work with Keras.
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11 November 2021
References mentioned below were inadvertently added in the chapter by the volume editors. This has now been removed from the chapter.
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Joseph, F.J.J., Nonsiri, S., Monsakul, A. (2021). Keras and TensorFlow: A Hands-On Experience. In: Prakash, K.B., Kannan, R., Alexander, S., Kanagachidambaresan, G.R. (eds) Advanced Deep Learning for Engineers and Scientists. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-66519-7_4
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DOI: https://doi.org/10.1007/978-3-030-66519-7_4
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