Dev Tools · 2h ago
Building LSTMs with PyTorch and Lightning: Resuming Training from Checkpoints
This tutorial shows how to resume LSTM training in PyTorch Lightning using checkpoints. It increases max epochs to 5000 and continues training to improve predictions. The code demonstrates loading the best checkpoint and calling fit() with the ckpt_path parameter.
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A straightforward tutorial for developers already familiar with PyTorch Lightning, but not groundbreaking for experienced ML practitioners.
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Building LSTMs with PyTorch and Lightning AI Part 8: Setting Up a Simpler LSTM →
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