A deep learning project that uses ice cream brands to make recommendation based on data.
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Updated
May 14, 2021 - Jupyter Notebook
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
An RNN sentiment classifier for Yelp reviews
An Image Caption Generator which generates a caption describing the given image.
Usage of NN in order to classify the setiment of YouTube comments.
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
Framework for learning effective reduced order dynamics of molecular systems.
Deep Learning topics.
Predicition of spread dengua fever by a reccurent neural network
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.
sentence-state LSTM in PyTorch
Deploying a sentiment analysis model using Amazon Web Services (AWS)
This project was one of my DLND projects
Subset of Keras functionality implemented in pure numpy 🦝
End-to-end approach for recognizing people signatures
🤵 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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