This is a c++ deep learning network implementation that runs on cpu and gpu
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Updated
Apr 16, 2016 - C++
This is a c++ deep learning network implementation that runs on cpu and gpu
Batched RNN + LSTM in Python and Numpy for Character Generation
Recurrent Neural Network that predicts word-by-word
Textual generation using character LSTMs
Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.
A pure Python and Numpy implementation of an LSTM Network
A walk-through of Recurrent Neural Networks (RNN) and Long Short Term Memory (LSTM) Networks
Generating the cricket commentary using the Computer Vision Technique
EEL6935 Cloud Computing Course Project
Models for identifying question pairs that have the same intent implemented by tensorflow.
neural network for sentence classification
In this demo I built a LSTM recurrent neural network using the TFLearn high level Tensorflow-based library to train on a labeled dataset of spoken digits. Then test it on spoken digits.
Visual Question Answering project as a part of 11-777 course requirements
this is the 3 project of the deep learning nanodegree program of udacity
DLND project no 3 Introduction In this project, you'll generate your own Simpsons TV scripts using RNNs. You'll be using part of the Simpsons dataset of scripts from 27 seasons. The Neural Network I'll build will generate a new TV script for a scene at Moe's Tavern.
An AI microtales generator with a Twitter interface
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