Tichifunga nezvemashoko ari mundima ino, ndezvipi zvimwe zvinoratidza kuti ndangariro refu yenguva pfupi (LSTM) inoshandiswa sei?
Context:Long-short-term memory (LSTM) inonzi artificial neural network inoshandiswa muminda ye artificial intelligence uye deep learning. Kusiyana neyakajairika feedforward neural network, LSTM ine feedback kubatana. Nzvimbo yakadaro inodzokororwa yeuropi (RNN) inogona kubata kwete chete mapepa ega ega e data (akadai semifananidzo), asiwo nhevedzano yose ye data (yakadai sehurukuro kana vhidhiyo). Ichi chimiro chinoita kuti LSTM network ive yakanaka pakugadzira uye kufanotaura dhata. Somuenzaniso, LSTM inoshanda pamabasa akadai sokunyorwa kwemanyorerwo emaoko, kuzivikanwa kwemashoko, kushandurwa kwemashini, kuonekwa kwemashoko, kudzora marobhoti, mitambo yemavhidhiyo, uye utano.
Kuyeuka kwenguva pfupi kwenguva refu kunoshandiswa pakuziva manyorerwo ezvinyorwa nemaoko, pakuziva kutaura, pakushandura mumuchina, pakuziva zvinoitwa nemutauro, pakudzora marobhoti, pamitambo yemavhidhiyo uye pakutarisira utano.