keras
LSTM Autoencoder for Anomaly Detection in Python with Keras
Using LSTM Autoencoder to Detect Anomalies and Classify Rare Events So many times, actually most of real-life data, we have unbalanced data. Data were the events in which we are…
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Autoencoder with Manifold Learning for Clustering in Python
Clustering the Manifold of the Embeddings Learned by Autoencoders Whenever we have unlabeled data, we usually think about doing clustering. Clustering helps find the similarities and relationships within the data.…
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Sentiment Prediction using CNN and LSTM in Keras
Using Convolutional and Long Short-Term Memory Neural Networks to Classify IMDB Movie Reviews as Positive or Negative We will explore combining the CNN and LSTM along with Word Embeddings to…
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