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Import dependencies =================== ``` # Re-loads all imports every time the cell is ran. %load_ext autoreload %autoreload 2 from time import time import numpy as np im…
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Import dependencies =================== ``` # Re-loads all imports every time the cell is ran. %load_ext autoreload %autoreload 2 from time import time import numpy as np im…
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To use PyTorch Lightning to train a neural network on a custom dataset, you can create a custom PyTorch Dataset and use a PyTorch Lightning DataModule to load and preprocess the d…
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To implement early stopping during training using PyTorch Lightning, you can use the `EarlyStopping` callback. Here are the steps: 1. Import the `EarlyStopping` callback from Py…
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To save and load models during training and inference using PyTorch Lightning, you can use the `save_checkpoint()` and `load_from_checkpoint()` methods. Here are the steps: 1. I…
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To log training metrics to TensorBoard for visualization using PyTorch Lightning, you can use the `TensorBoardLogger` callback. Here are the steps: 1. Import the `TensorBoardLog…
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To implement distributed training across multiple GPUs or nodes using PyTorch Lightning, you can use the `DistributedDataParallel` (DDP) module. Here are the steps: 1. Choose a …