Autosuggestion Long Short-Term Memory Recurrent Neural Network model with Keras Functional API
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Updated
Mar 16, 2018 - Jupyter Notebook
Autosuggestion Long Short-Term Memory Recurrent Neural Network model with Keras Functional API
Protein Sequence Classification using RNN and Naive Bayes
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.
Deep Learning Course by DeepLearning.AI
Many to one RNN model in Keras 👍 or 👎
Final course project for CSE 258 (Fall 2022; Prof. Julian McAuley; UC San Diego)
Reviewed and implemented research paper Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
🇫🇷 English to French Translation via Python 3 and Keras RNNs.
Time Series Prediction of Stock Market Trends
To predict the price of the Google stock, we use Deep Learning, Recurrent Neural Networks with Long Short-Term Memory(LSTM) layers.
This repository consists of RNN-model, CNN-model and use of DeepNET architectute.
Recurrent Neural Networks (RNNs) are a class of artificial neural networks designed to recognize patterns in sequences of data, such as time series, speech, or text.
Simple music generation rnn. Update/Built untop of MattVitelli/GRUV and unnati-xyz/music-generation
RNN model for prediction of bitcoin prices
MACHINE LEARNING / NLP / AMAZON SAGEMAKER: This an exemplary implementation of Web Application predicting if provided movie review is POSITIVE or NEGATIVE. This application uses Machine Learning model trained and deployed on Amazon SageMaker environment.
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