Smaller network rnn and complexity reduction techniques
Ay
Muallif:
Ayshajon Sharipova
Hujjat ma'lumotlari
Kategoriya:
Taqdimotlar (slaydlar) Format:
ppt Sahifalar:
39 bet Ko'rilgan:
1 marta Sotilgan:
0 marta Hajmi:
9.89 MB Narxi:
9,090 so'mMahsulot tavsifi:
This document discusses Recurrent Neural Networks (RNN), their architecture, and how they reduce complexity compared to fully connected networks, referencing the work on speech recognition.
