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Introduction Video:

https://youtu.be/737GnXvv8J4

Description of Files:

preprocess.py:

provide helper functions for loading and preprocessing training data.

models.py:

define the LSTM+MLP model

configs.py:

define hyperparameters for training

dataloader:

a custom dataloader for preprocessed data

lstm_training.ipynb:

experiment with different training settings. Can print out training and validation loss.

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