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
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
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.
🇫🇷 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.
Song lyrics generation using Recurrent Neural Networks (RNNs)
The problem we are going to look at in this project is the International Airline Passengers prediction problem.
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