Browsing by Author "Rashid, Warida"
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Analyzing optimization landscape of recent policy optimization methods in deep RL
Khan, Mahir Asaf; Ashraf, Adib; Amin, Tahmid Adib (Brac University, 2022-05)In this work we will analyze control variates and baselines in policy optimization methods in deep reinforcement learning (RL). Recently there has been a lot of progress in policy gradient methods in deep RL, where ... -
Bengali isolated speech recognition : a comparative analysis of the effects of data augmentation on HMM and DNN based acoustic models
Rashid, Warida; Reza, Mohi (BRAC Univeristy, 2017)We have created an isolated-word dataset - Prodorshok 1, which consists of 34 Bengali words related to navigation with 1011 voice samples. The word set is intended to help design speaker dependent/independent, voice-command ... -
Predicting regional accents of Bengali language using deep learning
Ibrahim, Md. Abu; Nayeem, Md. Nawaz-S-Salekeen; Al Arabi, Sadaf (Brac University, 2021-09)Accent is a huge challenge in communication for all languages. Different people who speak the same language might pronounce the same word differently. In a conversation, if two people are from different regions and they ... -
Prostate cancer detection using deep learning neural network with transfer learning approach
Badhon, Ariful Islam Mahmud; Hasan, Md. Sadman; Haque, Md. Samiul; Pranto, Md. Shafayat Hossain; Ghosh, Saurav (Brac University, 2021-10)Prostate cancer is a ubiquitous form of cancer detected among men all over the world. It is currently the second leading cause of cancer death worldwide among men. Research shows that about 11% of men worldwide are ... -
Stock Market Price movement prediction using RNN and Point-weight Sentiment
Uddin, S. M. Rageeb Noor; Naim, Jannatul Arafat; Pranjol, Mashuk Arefin; Ashrafi, Almas; Emon, Ibthasham Amin (Brac University, 2022-01)Predicting the price of stocks has always been an exciting and challenging field for academics and investors for a long time as it helps to gain high-profit margins for investment companies, investors, and emerging ...