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1. Hands-On Attention Mechanism for Time Series Classification, with Python

   This article demonstrates how to use the attention mechanism in a time series classification framework, specifically for classifying normal sine waves versus 'modified' (flattened) sine waves. It details the data generation, model implementation (using a bidirectional LSTM with attention), and results, achieving high accuracy.

   2025-06-01 Tags: deep learning, python, time series, transformers, attention, lstm, classification, production engineering, observability by klotz
2. New LSTM Model Boosts Long-term Time Series Forecasting Accuracy

   A new LSTM model, sLSTM, is introduced to improve long-term time series forecasting accuracy. It's evaluated on benchmark datasets and compared to other state-of-the-art methods.

   2024-08-27 Tags: lstm, time series, machine learning, rnn by klotz
3. Deep Learning Illustrated, Part 5: Long Short-Term Memory (LSTM)

   An illustrated and intuitive guide on the inner workings of an LSTM, which are an improvement on Recurrent Neural Networks (RNNs) that struggle with retaining information over long distances.

   2024-08-06 Tags: deep learning, lstm, rnn, neural networks, sequence modeling by klotz
4. How to extract Key-Value pairs from Documents using deep learning

   2020-10-22 Tags: nlp, document extraction, image processing, deep learning, lstm, ocr by klotz
5. Lambda layers - Recurrent Neural Networks for Time Series | Coursera

   2019-08-06 Tags: time series, rnn, lstm, coursera by klotz
6. “RNN Simplified- A beginner’s guide”

   2019-06-07 Tags: lstm, rnn, deep learning by klotz
7. LSTM Autoencoder for Extreme Rare Event Classification in Keras

   2019-05-19 Tags: lstm, time series, anomaly detection by klotz
8. “Detecting a simple neural network architecture using NLP for email classification”

   2019-04-20 Tags: email, ham, spam, classification, lstm, cnn, embedding by klotz
9. Multi-Class Text Classification with LSTM – Towards Data Science

   2019-04-11 Tags: lstm, nlp, text, classification, tutorial by klotz
10. “Sequence to Sequence Learning with Neural Networks”: Paper Discussion

    2019-03-21 Tags: lstm, translation, encoder, decoder, deep learning by klotz

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