Abstract
This chapter is the conclusion of the book with a short recapitulation of the ideas and an incomplete and interdisciplinary list of interesting open research problems in deep learning and connectionism.
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Notes
- 1.
Books, journal articles, Arxiv, Coursera, Udacity, Udemy, etc—there is a vast universe of resources out there.
- 2.
I do not know whose proverb it is, but I do know it was someone’s, and I would be very grateful if a reader who knows the author contacts me.
Reference
Y. Bengio, Learning deep architectures for AI. Found. Trends Mach. Learn. 2(1), 1–127 (2009)
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Skansi, S. (2018). Conclusion. In: Introduction to Deep Learning. Undergraduate Topics in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-73004-2_11
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DOI: https://doi.org/10.1007/978-3-319-73004-2_11
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Online ISBN: 978-3-319-73004-2
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