Programming LSTM with Keras and TensorFlow (10.2)
Long Short Term Memory (LSTM) and Gated Recurrent Units (GRU) are two layer types commonly used to build recurrent neural networks in Keras. This video introduces these two network types as a foundation towards Natural Language Processing (NLP) and time series prediction.
Code for This Video:
https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_10_2_lstm.ipynb
Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/
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Видео Programming LSTM with Keras and TensorFlow (10.2) канала Jeff Heaton
Code for This Video:
https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_10_2_lstm.ipynb
Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/
Follow Me/Subscribe:
https://www.youtube.com/user/HeatonResearch
https://github.com/jeffheaton
https://twitter.com/jeffheaton
Support Me on Patreon: https://www.patreon.com/jeffheaton
Видео Programming LSTM with Keras and TensorFlow (10.2) канала Jeff Heaton
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