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I'm in the same situation, but I'd say: don't worry too much. It feels like many balls are still up in the air regarding deep learning, and it's likely that th
by norswap 10y ago
I'm in the same situation, but I'd say: don't worry too much.
It feels like many balls are still up in the air regarding deep learning, and it's likely that the dust will settle at some point. The tried and true will remain and it's essence will emerge, will the rest will sink to the bottom.
- visarga 10y agoWe will have lots of pre-made AI blocks that do all sorts of functions. Actually using them will be easy. We don't need to understand every nuance of probability theory to call a library and have it do its work.
- 50CNT 10y agoThat reminds me of something I was doing recently, really rough corpus analysis, trying to see how much text coverage the words in the NGSL give you. Honestly thought it'd take me a couple of weeks to do. Got into NLTK, used the built in sentence tokenizer, word tokenizer, then wordnet POS tagging to remove proper nouns, added some more cleanup code, and I had something passable within two days. Now at this point I couldn't write a POS tagger to save my life, but it was cool seeing code you wrote over two evenings run over 30k books just like that (which still took a week, but ah well).
- infectoid 10y agoI decided not to worry but stay well read. Crossing my fingers for a library or API to do the grunt work for me.