no code implementations • 19 May 2023 • Anupiya Nugaliyadde
We introduce Long Term Memory network (LTM) to learn from infinitely long sequences.
no code implementations • 27 Jan 2021 • D. L. Abeywardhana, C. D. Dangalle, Anupiya Nugaliyadde, Yashas Mallawarachchi
The dataset was evaluated on different classification algorithms including deep learning models based on different approaches to provide a benchmark.
Image Classification Transfer Learning Multimedia
no code implementations • 18 Sep 2019 • Anupiya Nugaliyadde, Upeka Somaratne, Kok Wai Wong
To assess the applicability of the RNN and the LSTM network to predict electricity consumption, they were tested to predict for an individual house and a block of houses for a given time period.
no code implementations • 18 Apr 2019 • Anupiya Nugaliyadde, Kok Wai Wong, Ferdous Sohel, Hong Xie
Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTM), and Memory Networks which contain memory are popularly used to learn patterns in sequential data.
no code implementations • 22 Jan 2019 • Anupiya Nugaliyadde, Kok Wai Wong, Ferdous Sohel, Hong Xie
Furthermore, the use of 3D visual representations has shown to be capable of representing the similarity and association between words.