I have an interesting perspective on this title because the book I read just before it was I have an interesting perspective on this title because the book I read just before it was I read Douglas Hofstadter”s “Godel, Escher, Bach” long ago – sometime in the early ‘80s, and I remember thinking “I really need to read this again. This post is a rewrite and update on that older post.

That is, the network must learn how to not only translate the original image, in needs to also learn the inverse (or reverse) translation.The major difficulty of training Deep Learning systems has been the lack of labeled data. I'm not being hyperbolic. 25 quotes from I Am a Strange Loop: ‘In the end, we self-perceiving, self-inventing, locked-in mirages are little miracles of self-reference.’ ... ― Douglas R. Hofstadter, I Am a Strange Loop. It's not at all clear to me that this book has any genuine insights to offer, but that may be that it is lost on me as I find his writing style After about 200 pages of reading I still was unsure what the point was supposed to be. Even the title reflects this. )After about 200 pages of reading I still was unsure what the point was supposed to be.

It was either too indirect, too intricately argued, or too Germanic for me to follow, and after months of off and on attempts I finally put it aside.Twenty-eight years ago, Douglas Hofstadter published a book titled "Goedel, Escher, Bach" that earned him instant academic renown and a cultlike following.

It can perform what appears to semantic translation such as converting horses into zebras or converting images taken in one season and making it appear to be taken in another season.The crux of the approach is the use of a ‘cycle-consistency loss’. She may think that she has, but how would she really know.

But I love their soulless little hearts anyway.I didn’t like this book, although I agree with almost all of its assertions. Instead, you get a host of parables and stories to convey his ideas (along with Gödel, Parfit, Dennett, and a host of otheThis is the best science-related book I've ever read. Is a mosquito conscious?

The concept of a strange loop was proposed and extensively discussed by Douglas Hofstadter in Gödel, Escher, Bach, and is further elaborated in Hofstadter's book I Am a Strange Loop, published in 2007.

We have a wedding registry at Macy’s. I did find, however, his account of how identity is dispersed and externalized the be somewhat unconvincing, thought not because I disagree with the concept but with his interpretation of the concept. After all, it, like us, seems to have a will to live, and responds to environmental stimuli in ways that benefit itself. These systems have conventionally been composed of acyclic graphs of computation layers. Can thought arise out of matter? Hoffstadter purportedly explores the nature of self-reference and consciousness, but instead, I think, spends more time pointing out through his writing how clever he is, how feeble he considers Bertrand Russell, and how much of a fan boy he (Hoffstadter) is of Godel. I Am a Strange Loop [Douglas R. Hofstadter] on *FREE* shipping on qualifying offers. The author draws analogies between Godel's incompleteness theorem of mathematical logic and the question of the meaning of identity and consciousness. I had a lot of issues with the structure of the argument, which was too dependent on the analogy. The prototypical example of a strange loop is the self-referential structure at the core of Gödel's incompleteness theorems. So the next time you see some mind boggling Deep Learning results, seek to find the strange loops that are embedded in the method. This is not hyperbole, this is happening today where researchers are training ‘narrow’ intelligence systems to create very capable specialist automation that surpass human capabilities.My first recollection of an effective Deep Learning system that used feedback loops where in “Ladder Networks”.