(Part 2) Best computer neural networks books according to redditors
We found 103 Reddit comments discussing the best computer neural networks books. We ranked the 23 resulting products by number of redditors who mentioned them. Here are the products ranked 21-40. You can also go back to the previous section.
>I'm actually rereading it now. The monolith is described as "crystaline" or "transparent" at several points in the first section. Lights playing across its surface are a key part of its intelligence tests. It tests hand-eye coordination of Moonwatcher, one of the apes, by manipulating the ape's mind to throw a rock at a target created on the monolith in patterns of light.
I remember those tests, I didn't remember the crystalline description. Thanks.
>I disagree that neural networks were advancing quickly at the time. Or rather, that it this was a prediction based on actual progress at the time.
I said that the mathematics and computer science research on them was advancing quickly at the time, not the implementations. It was shortly after the Perceptron was created as a learning / pattern-recognition algorithm. A year after 2001 was released, we had this beauty released by Minsky and Papert that diminished the hype a bit, because they proved certain limitations of perceptrons and small networks, while larger networks were too computationally intensive for the computers at the time (as you've said). But when computational capacity increased in the early 80s, everyone got super-excited again until the early 90s. Heck, even during the supposed slow-down in the 70s, the backpropagation method for training networks, still huge today, was created by Werbos. Trust me, neural networks were huge back then. They thought the only limitation was the speed of the hardware.
>I also recently finished Rendezvous with Rama, written a year or so after 2001. It's really interesting to see just how Clarke's ideas on computers changed in that short time.
Clarke may have been influenced by Asimov when writing 2001. I know he consulted Asimov for his biochemistry knowledge when writing 2001, regarding the diet switch of the apes from purely vegetarian to consuming meat. It's possible HAL was more in the style of Asimov's robots as a result as well, but I don't know.
you check the following book
Forecasting models – an overview with the help of R software : Time series - Past ,Present and Future
https://www.amazon.co.uk/dp/B07VFY53B1 (E-Book)
https://www.amazon.com/dp/1081552808 (Paperback)
ISBN: 9781081552800
Are you trying to induce a spike or simulate a spike?
In neuromorphic engineering a leaky integrate and fire circuit is typically used.
If you (or others) want to go down the rabbit hole then get this book:
https://www.amazon.com/Spiking-Neuron-Models-Populations-Plasticity/dp/0521890799