Major Neural Network Architectures - recurrent neural networks, convolutional neural networks, long-short-term-memory, autoencoders, recommender systems, artificial general intelligence

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....

RNN, Word Embedding, LSTM, Classification

Natural Language Processing | BRACU

Toy example of RNN LSTM in TensorFlow

Certificates of the Deep Learning Specialization from Coursera (2020)

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.

LSTM neural network to identify textual entailment

Participants in this Specialization have the opportunity to construct and train various neural network architectures, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Transformers. They learn to enhance these networks with techniques such as Dropout, BatchNorm, Xavier/He initialization, among others.

Part-of-Speech Tagging using Bidirectional Long-Short Term Memory

Deep Learning class projects from Kagle. All projects are individual projects conducted by me using pyhton (keras, tensor-flow, matplotlib and other libraries). Different Deep Neural Network (DNN) methods were used and results were compared based one efficiency and accuracy. Results and conclusions based on results were reported.

Simulation of "Triggering Proactive Business Process Adaptations via Online Reinforcement Learning" paper with proper steps and recreating the results

Assignments of my CST Part III Natural Language Processing (L90) module