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An outline of an LSTM class
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Classroom Contents
Long Short-Term Memory with PyTorch + Lightning
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- 1 Awesome song and introduction
- 2 Importing the modules
- 3 An outline of an LSTM class
- 4 init: Creating and initializing the tensors
- 5 lstm_unit: Doing the LSTM math
- 6 forward: Make a forward pass through an unrolled LSTM
- 7 configure_optimizers: Configure the...optimizers.
- 8 training_step: Calculate the loss and log progress
- 9 Using and training our homemade LSTM
- 10 Evaluating training with TensorBoard
- 11 Adding more epochs to training
- 12 Using and training PyTorch's nn.lstm
