October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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References
- Hopfield, John J, Neural networks and physical systems with emergent collective computational abilities. Proceedings of the national academy of sciences 79.8 (1982): 2554-2558.
- Bengio, Yoshua, Patrice Simard, and Paolo Frasconi, Learning long-term dependencies with gradient descent is difficult. IEEE transactions on neural networks 5.2 (1994): 157-166.
- Hochreiter, Sepp, and Jürgen Schmidhuber, long short-term memory. Neural Computation 9.8 (1997): 1735-1780.
- Hochreiter, Sepp. Recurrent neural net learning and vanishing gradient. International Journal Of Uncertainity, Fuzziness and Knowledge-Based Systems 6.2 (1998): 107-116.
- Sutskever, Ilya, Training recurrent neural networks. University of Toronto, Toronto, Ont., Canada (2013). ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.