Implementation of a Recurrent Neural Network with LSTM cells, in pure Python.
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Updated
Oct 21, 2017 - Python
Implementation of a Recurrent Neural Network with LSTM cells, in pure Python.
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
Generates shakespeare style play by LSTM (RNN) network.
Image captioning
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
A LSTM implementation with only using basic components of pytorch
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Application of LSTM networks and modified RNN cells to various Time Series Classification problems
Text generation using a character-based RNN with LSTM cells. We will work with a dataset of Shakespeare's writing from Andrej Karpathy's The Unreasonable Effectiveness of Recurrent Neural Networks. Given a sequence of characters from this data ("Shakespear"), train a model to predict the next character in the sequence ("e"). Longer sequences of …
This repo includes Zhang2019's CLSTM implemented using keras(tensorflow2). Zhang2019:Zhang, Haokui, et al. "Exploiting temporal consistency for real-time video depth estimation." Proceedings of the IEEE International Conference on Computer Vision. 2019.
Sentiment Classifier using a bidirectional stacked RNN with LSTM/GRU cells for the Twitter sentiment analysis dataset
Yeezy Taught Me Text Generation. Training next character predictions RNN LSTM model with user input text corpus
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