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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.
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.
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.
In this project, I generated Seinfeld TV scripts using RNNs.This project is part of udacity deep learning nanodegree program. The Neural Network will generate a new, "fake" TV script, based on patterns it recognizes in this training data.
In this repo you can find implementations of advanced deep learning using Keras and Tensorflow like NLP using GloVe model, Autonomous driving application using YOLO, Trigger word detection model using LSTM, Neural machine translation and others deployed in the Deep Learning Specialization of deeplearnin.ai in Coursera