An RNN sentiment classifier for Yelp reviews
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Updated
May 9, 2023 - Jupyter Notebook
An RNN sentiment classifier for Yelp reviews
A deep learning project that uses ice cream brands to make recommendation based on data.
In this model ,I have used the GLUE dataset in order to perform a sentiment analysis on the reviews as positive and negative. Different types of Neural Networks using TensorFlow was tried out such as CNN,GRU and bi-directional LSTMs. The accuracy of predictions of each of these models are visualised in the end
Usage of NN in order to classify the setiment of YouTube comments.
An Image Caption Generator which generates a caption describing the given image.
Framework for learning effective reduced order dynamics of molecular systems.
Deep Learning topics.
Seq2Seq attention based speech transcription system using pyramidal Bi-LSTMS .
Real time application of Sentiment Analysis on Movie Reviews. A Machine Learning Flask App hosted on Heroku and created on Google Colab. https://swetakesurnlp-playground.herokuapp.com
Predicition of spread dengua fever by a reccurent neural network
sentence-state LSTM in PyTorch
This project was one of my DLND projects
Subset of Keras functionality implemented in pure numpy 🦝
End-to-end approach for recognizing people signatures
estimate remaining useful life of CPSs, namely NASA's C-MAPSS, using a hybrid CNN-LSTM model.
This project implements a sequence-to-sequence (Seq2Seq) model using an RNN-based approach for machine translation from Urdu to English. The model utilizes PyTorch and processes a dataset of parallel Urdu-English sentences.
Deploying a sentiment analysis model using Amazon Web Services (AWS)
🤵 En nettside som bruker maskinlæring til å gjette om du er mann eller kvinne basert på hva du skriver 💃
This MATLAB program implements the complete BPTT process for GRU. We provide two algorithms here, a direct but quadratic time algorithm for easy understanding, and an optimized linear time algorithm.
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