Visual7W visual question answering models
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Updated
Oct 8, 2019 - Lua
Visual7W visual question answering models
using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc
Automatic Measurement of Voice Onset Time (VOT) using Deep Recurrent Neural Networks (Interspeech 2016)
Temporal augmentation with two-stream ConvNet features on human action recognition
Funny text generation using character level LSTM model, featured in TED ideas
Recurrent Neural Network that predicts word-by-word
Source Codes for reproducing the results in the paper: https://arxiv.org/abs/1703.03821
This repository contains the algorthim that tries to mimic the music captioning style of Prof. Paolo Bientinesi.
Simple Recurrent Neural Network package for Torch
Neural Turing Machine implementation in Torch
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