Speech recognition project on Keyword Spotting (KWS) using Recurrent Neural Networks (RNNs)
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Updated
Jan 23, 2023 - Python
Speech recognition project on Keyword Spotting (KWS) using Recurrent Neural Networks (RNNs)
Essays on the Political Economy of the American Frontier
Natural Language Processing (NLP) based and trained on RNNs(LSTM) will be powerful enough to generate a fake TV script on Seinfield American TV series. Building a Seinfeld TV scripts AI generator using RNNs.
Recurrent Neural Networks for Text Generator
Generating Sequences of Play In Rugby Union Using Recurrent Neural Networks - Statistical Science honours project at the University of Cape Town.
Udacity's Deep-Learning Nano-degree's TV Script Generation Project.
DeepLearning.AI TensorFlow Developer Professional Certificate.
Predicting missing metadata with recurrent neural network (RNNs) based entity extraction
Explores language production using recurrent neural networks and distributed semantic representations.
Learn the concepts and applications of RNNs (specifically, Long Short-Term Method networks) and implement these architectures to build sequential models to predict results
Projects from deeplearning.ai's course hosted on Coursera
CS224n : Natural Language Processing with Deep Learning Assignments, Winter 2017, Stanford University.
This Repository is the work of Deep learning Project as part of MLDM M2 Masters in University Jean Monnet
Polarity prediction of tweets in Mexican Spanish using RNNs and word embeddings in PyTorch
Mathematical Implementation of RNNs from scratch using just numpy
Sentiment analysis and prediction project based on a Recurrent Neural Network Model (RNN) that can read in some text and make a prediction about the sentiment of that text.
Example project of LSTM in Keras for google stocks prediction.
Understand the learning process of RNNs and discover the LSTM network architecture. Solve problems and perform Natural Language Processing using sequences of data
embeddings language models
Generating Seinfeld TV scripts using RNNs
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