I was a bit lost in this one. I had trouble with slabic, voiced and few other phonetic terminology. Still, professor gave me a good overview of phonology. It is amazing that we use so few phonetics. Also, the last part about how to approach AI problems is valuable in any field.
1:37 these ideas about neural nets.. Comon this is so not updated.. Why didnt you publish his recent courses from 2015 like classes 12a and 12b about neural networks..
When Mr. Winston says that neural networks weren't a good approach to this problem, I guess it's because he actually tried them, and I'm very intrigued about the result. Or did he just know it wasn't a good method? In that case, how did he come to that conclusion?
There have been a number of significant advances in neural networks since this was recorded. In fact, some of these advances prompted him to re-record the neural net portion of the course.
I noticed in this lecture he was talking about pronouncing a 'z' sound at the end of dogs, I think this a feature of 'American' English pronunciation, I wonder how an algorithm constructed around these arbitrary pronunciation quirks would deal with 'Australian' or 'British' English as they pronounce the 's' sounds in both cats and dogs.
It is the same. The linguistic phenomenon this is referring to is called phonological assimilation. en.wikipedia.org/wiki/Assimilation_(phonology) British English experiences the same cross-phonemic bleeding, hence Brits pronounce /dogz/ with the voice plural morpheme.
I like his straightforward delivery. Makes me trust him more. I mean, more than I normally would trust some guy who happens to be a tenured member of the MIT faculty.,...,
This is almost better than Netflix bingewatching
I'm not the only one! Yay!
I was a bit lost in this one. I had trouble with slabic, voiced and few other phonetic terminology. Still, professor gave me a good overview of phonology. It is amazing that we use so few phonetics. Also, the last part about how to approach AI problems is valuable in any field.
Not sure if this might help, but I think "syllabic" was what he meant when he wrote/said "slabic" in the lecture.
nat4200 That does help. Thanks. :-)
44:01 - Mechanism envy in Artificial Intelligence research: trying to apply neural nets to every, possibly unsuitable problem.
Grazie mille , interessante
R.I.P Patrick Winston
:(( R.I.P.
great lecture Winston
is this when genetic algorithms and neural nets only produced poor performance results?
Thank you
1:37 these ideas about neural nets.. Comon this is so not updated.. Why didnt you publish his recent courses from 2015 like classes 12a and 12b about neural networks..
It's very interesting how he said that the Neural Networks were history, maybe he meant that they're making history. Anyway, great lectures!
Watch the lectures on Neural networks - videos 12a and 12b. You're right and I think Winston would also agree with your comment.
What does glimpse through a soda straw mean?
I wish it was true, that German cows would "müh", not moo, but I'm afraid it isn't so
I think you meant to say "I wish it was true, that German cows would "müh", not moo, but I'm afraid it isn't soue."
Die Kuh macht "muh"!
'bi:tʃ
I find the lack of IPA transcriptions a bit lacking. It's not "funny" letters, they help with many languages. Extremely good material though.
yeah, localness is the most important.
When Mr. Winston says that neural networks weren't a good approach to this problem, I guess it's because he actually tried them, and I'm very intrigued about the result. Or did he just know it wasn't a good method? In that case, how did he come to that conclusion?
There have been a number of significant advances in neural networks since this was recorded. In fact, some of these advances prompted him to re-record the neural net portion of the course.
I noticed in this lecture he was talking about pronouncing a 'z' sound at the end of dogs, I think this a feature of 'American' English pronunciation, I wonder how an algorithm constructed around these arbitrary pronunciation quirks would deal with 'Australian' or 'British' English as they pronounce the 's' sounds in both cats and dogs.
It is the same. The linguistic phenomenon this is referring to is called phonological assimilation.
en.wikipedia.org/wiki/Assimilation_(phonology)
British English experiences the same cross-phonemic bleeding, hence Brits pronounce /dogz/ with the voice plural morpheme.
Does anyone have a resource to David Marr's catechism? I want to read more about it but couldn't find it anywhere.
Page 279 of the Artificial Intelligence book ( www.amazon.com/exec/obidos/ASIN/0201533774/ref=nosim/mitopencourse-20 ).
45:30 Doesn't it?
the first lecture was better
who came after gaurav sen's video?
41:24 Winston shows a diagram with all phonemes. Does anybody know if he published this somewhere?
He didn’t come up with those. You can simply look them up on Wikipedia
I miss some enthusiasm in his speech. This makes it less enjoyable to watch.
I like his straightforward delivery. Makes me trust him more. I mean, more than I normally would trust some guy who happens to be a tenured member of the MIT faculty.,...,