Classifying the sentiment of IMDb reviews by implementing long short-term memory networks

Time Series Forecasting with Neural Networks

Recurrent Neural Networks (RNN's) for sentiment analysis on IMDB dataset from keras....

Language process with Python

RNN, Word Embedding, LSTM, Classification

Audio-based Indonesia Toxic Language Classification using Recurrent Neural Network, Speech Recognition and Natural Language Processing.

Natural Language Processing | BRACU

Toy example of RNN LSTM in TensorFlow

Certificates of the Deep Learning Specialization from Coursera (2020)

It analyses the movie review entered by a user for any specific movie and analyses what is the sentiment of the review. It helps the companies rate the movie and understand crowd sentiment regarding it. Sentiment analysis is a natural language processing problem where text is understood and the underlying intent is predicted.

Create a neural network architecture to automatically generate captions from images.

modelo de inteligencia artificial Long Short-term Memory (LSTM) para predecir ventas diarias

Hand gesture control of a robot. Research conducted at Hochschule Fulda, Germany for fulfillment of undergraduate thesis.

Train a Long short term memory network to translate German text to English

Deep Learning Bidirectional Long Short Term Memory model to classify toxic comments into various parameters of toxicity

This binary classification model uses Machine Learning to determine if tweets are positive or negative. The model involves text-handling techniques such as stemming, filtering, stop word removal, and text vectorization.

This repository contains code for predicting food delivery time using Long Short-Term Memory (LSTM) neural networks.

Remaining Useful Life Prediction

Deep Learning in python