A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

Predicting Trump's Tweets With A Character Level Recurrent Neural Network - Generating author and task specific text with a LSTM RNN.

Predict to buy the cryptocurrency or not using Recurrent Neural Network (RNN)

Prädiktion von zukünftigen Fußgänger-Trajektorien/Bewegungsbahnen mithilfe eines LSTM-Neuronalen Netzes.

implement inference logic of tensorflow stack_bidirectional_dynamic_rnn with numpy

Time Series Analysis: Accelerometer Sensors of Object Inclination and Vibration. Time Series Analysis by using different (State of Art Models) Machine and Deep Learning. Recurent Neural Network with CuDNNLSTM Model, Convolutional Autoencoder, Residual Network (ResNet) and MobileNet Model.

Using CuDNN LSTM model for mnist dataset, which is compiled specifically for deep learning with GPU

All new projects using NN, RNN, CNN etc are uploaded in this repository for personal reference.

Kaggle Quora Competition # Top 31 %