Open philusnarh opened 5 years ago
Credit Card Fraud Detection using Autoencoders in Keras — TensorFlow for Hackers (Part VII) https://medium.com/@curiousily/credit-card-fraud-detection-using-autoencoders-in-keras-tensorflow-for-hackers-part-vii-20e0c85301bd
Intro to Recurrent Neural Networks LSTM | GRU https://www.kaggle.com/thebrownviking20/intro-to-recurrent-neural-networks-lstm-gru
Anomaly Detection in Predictive Maintenance with Time Series Analysis https://www.kdnuggets.com/2015/12/anomaly-detection-predictive-maintenance-time-series-analysis.html
Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras https://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/
https://machinelearningmastery.com/how-to-develop-lstm-models-for-multi-step-time-series-forecasting-of-household-power-consumption/
understanding-variational-autoencoders http://www.stokastik.in/understanding-variational-autoencoders/
lst-ae https://machinelearningmastery.com/lstm-autoencoders/
Reshape Input Data https://machinelearningmastery.com/reshape-input-data-long-short-term-memory-networks-keras/
Multivariate Time Series https://machinelearningmastery.com/multivariate-time-series-forecasting-lstms-keras/ https://wiseodd.github.io/techblog/2016/12/10/variational-autoencoder/
Credit Card Fraud Detection using Autoencoders in Keras — TensorFlow for Hackers (Part VII) https://medium.com/@curiousily/credit-card-fraud-detection-using-autoencoders-in-keras-tensorflow-for-hackers-part-vii-20e0c85301bd
Intro to Recurrent Neural Networks LSTM | GRU https://www.kaggle.com/thebrownviking20/intro-to-recurrent-neural-networks-lstm-gru
Anomaly Detection in Predictive Maintenance with Time Series Analysis https://www.kdnuggets.com/2015/12/anomaly-detection-predictive-maintenance-time-series-analysis.html
Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras https://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/
https://machinelearningmastery.com/how-to-develop-lstm-models-for-multi-step-time-series-forecasting-of-household-power-consumption/
understanding-variational-autoencoders http://www.stokastik.in/understanding-variational-autoencoders/
lst-ae https://machinelearningmastery.com/lstm-autoencoders/
Reshape Input Data https://machinelearningmastery.com/reshape-input-data-long-short-term-memory-networks-keras/
Multivariate Time Series https://machinelearningmastery.com/multivariate-time-series-forecasting-lstms-keras/ https://wiseodd.github.io/techblog/2016/12/10/variational-autoencoder/