Search Results for author:
Found 5 papers, 0 papers with code
Extending Memory for Language Modelling
We introduce Long Term Memory network (LTM) to learn from infinitely long sequences.
An Ultra-Specific Image Dataset for Automated Insect Identification
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
Predicting Electricity Consumption using Deep Recurrent Neural Networks
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.
Language Modeling through Long Term Memory Network
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.
Enhancing Semantic Word Representations by Embedding Deeper Word Relationships
Furthermore, the use of 3D visual representations has shown to be capable of representing the similarity and association between words.
