Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
-
Updated
Apr 26, 2021 - Jupyter Notebook
Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)
This repository contains the course materials that were used for Coursera TensorFlow specialization course.
Weather forecasting using recurrent neural network
A Repo of Time-series analysis techniques. Holt-Winter methods, ACF/PACF, MA, AR, ARMA, ARIMA, SARIMA, SARIMAX, VAR, VARMA, RNN Keras, Facebook- Prophet etc.
Quick and Simple Approach for Detecting Hate Speech in Arabic Tweets.
This is my first deep learning project in which I implemented a LSTM model on abc notation music data.
Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.
Twitter data on US Airlines Sentiment Analysis with Deep Learning (LSTM and CNN)
Classifying multimodal health data with LSTMs
Predicting trajectory paths of novel compounds employing RNN-based models (computational chemistry simulation-based problem)
Automatically describing the content of an image fundamental problem in artificial intelligence that connects computer vision and natural language processing.
Hyperparameters optimization using genetic algorithms
BiRNN POS tagger experiments with pre-trained word embeddings, character embeddings and ELMo contextualized representations
Stock Market Prediction Algorithm Implementation for major giants of India
Trigger word detection is the technology that allows devices like Amazon Alexa, Google Home, Apple Siri, and Baidu DuerOS to wake up upon hearing a certain word
Neuromodulated bistable recurrent cell from https://arxiv.org/abs/2006.05252
This is a demo repo to demonstrate how to use the famous type of Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM) to forecast time-series data of stock price.
Add a description, image, and links to the rnn-keras topic page so that developers can more easily learn about it.
To associate your repository with the rnn-keras topic, visit your repo's landing page and select "manage topics."