Shachar Shemesh wrote:
Nothing is. I'll settle for ideas regarding what things they are useful for. Please restrict your answer to those in which success ratio can be accurately measured.
Sorry, no time at the moment. Just answer the above question, i.e. - can you give (relatively) objective standard by which how good the music your neural network produced can be measured? Please don't understand this question as a taunt. Music is a highly subjective thing, and there is nothing wrong with a program that can produce good music, regardless of what definition of "good" you may wish to use. With translations, however, quality measurement is, by far, less subjective. Any program that consistantly produces a translation of a general text that 20% of the target native speaking population will call "a good translation" will get my appreciation. I'll even not include literary text, as those tend to be harder to translate.
My experience is that you can use neural networks to compose music. It doesn't mean you can't compose music without them - it's just a tool. Like there is a piano, a guitar, many instruments - each one of them can be used to play music. The same is with neural networks. Regarding other uses of neural networks - I'm not an expert, but I know they have been used for pattern recognition and all sort of things in physics and other areas. What is special with neural networks is their ability to generalize. You teach them something, then they "learn" and generalize on data which was never given to them. Best Regards, Uri Even-Chen Speedy Net Raanana, Israel. E-mail: [EMAIL PROTECTED] Phone: +972-9-7715013 Website: www.uri.co.il -------------------------------------------------------- ================================================================= To unsubscribe, send mail to [EMAIL PROTECTED] with the word "unsubscribe" in the message body, e.g., run the command echo unsubscribe | mail [EMAIL PROTECTED]
