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@@ -24,10 +24,7 @@ Neural networks training pipeline based on PyTorch. Designed to standardize trai
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* Segmentation - [notebook](https://github.com/toodef/neural-pipeline/blob/master/examples/notebooks/img_segmentation.ipynb), [file](https://github.com/toodef/neural-pipeline/blob/master/examples/files/img_segmentation.py)
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* Resume training process - [file](https://github.com/toodef/neural-pipeline/blob/master/examples/files/resume_train.py)
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### Training example:
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This code run MNIST image classification with Tensorboard monitoring. Code based on PyTorch [example](https://github.com/pytorch/examples/blob/master/mnist/main.py).
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See full example [there](https://github.com/toodef/neural-pipeline/blob/master/examples/files/img_classification.py).
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### Neural Pipeline short overview:
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```python
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import torch
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