#transfer learning
#transfer learning

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CodeProject

Predicting Forest Fires Using PyTorch

Transfer learning with PyTorch* is used to classify aerial photos based on fire danger.

Pretrained ResNet 18 model is fine-tuned using aerial photos labeled as Fire and NoFire.

The approach requires only a few hundred images and 15 minutes of CPU time to build an accurate model. [ more ]

CodeProject

Transfer learning is a deep learning method that allows the use of a pretrained model with a new dataset.

Intel Arc A-Series GPUs can run DL workloads quickly on PCs with TensorFlow and PyTorch models.

Using transfer learning with Intel Arc GPUs can significantly reduce training time compared to fully training the model. [ more ]

CodeProject

Transfer learning is a deep learning method that allows the use of a pretrained model with a new dataset.

Intel Arc A-Series GPUs can run DL workloads quickly on PCs with TensorFlow and PyTorch models.

Using transfer learning with Intel Arc GPUs can significantly reduce training time compared to fully training the model. [ more ]

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