Papers covering a few of my Deep Learning Projects.
-
Updated
Dec 23, 2020
Papers covering a few of my Deep Learning Projects.
Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.
Deep RNN model(Encoder - Decoder) with Attention mechanism and Beam Search decoding for langauge translation.
English to French Translation using Recurrent-Neural-Networks
RNN-LSTM model that classifies movie reviews
Projects for the Computer Vision Nanodegree
En utilisant, un RNN (réseau de neurones récurrents), je vais générer de la musique du style du groupe ‘The Chainsmokers’ c’est-à-dire de la musique POP.
sequence to sequence model using tensorflow
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
A self-driven project utilizing ARIMA, Seq2Seq, and XGBoost to help design the COVID19 forecasting algorithm. Data sources are from Kaggle Competition and JHU CSSE.
Assignment 2: Neural Machine Translation in 'Statistical Machine Translation' course by Dr. Roee Aharoni at Bar-Ilan University.
End-to-end text-to-speech synthesis based on deep learning
Projects from deeplearning.ai's course hosted on Coursera
Generating new titles for movie posters using a combination of image features and pre-trained subword embeddings
LSTM/RNN model to predict activity on GitHub and to guide repository interaction to success.
iPython notebooks for teaching and mishmash
Add a description, image, and links to the rnn-encoder-decoder topic page so that developers can more easily learn about it.
To associate your repository with the rnn-encoder-decoder topic, visit your repo's landing page and select "manage topics."