Updated Tutorials and BlogPosts (markdown)

Jirka Borovec 2020-10-19 17:34:07 +02:00
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* [EfficientDet Meets Pytorch-Lightning](https://medium.com/@YassineAlouini/efficientdet-meets-pytroch-lightning-6f1dcf3b73bd)
Welcome to this beginner friendly guide to object detection using EfficientDet. Similarly to what I have done in the NLP guide (check it here if you havent yet already), there will be a mix of theory, practice, and an application to the global wheat competition dataset.
* [Automatically finding good learning rate for your network with PyTorch Lightning](https://enjoymachinelearning.com/posts/find-lr-pytorch-lightning)
Among of all hyperparameters used in machine learning, learning rate is probably the very first one you hear about. It may also the one that you start tuning in the first place. You can find the right value with a bit of hyper parameter optimization, running tons of training sessions or you can let tools do it, much faster. Nowadays, many libraries implement LR Finder or “LR Range Test”.
Among of all hyperparameters used in machine learning, learning rate is probably the very first one you hear about. It may also the one that you start tuning in the first place. You can find the right value with a bit of hyper parameter optimization, running tons of training sessions or you can let tools do it, much faster. Nowadays, many libraries implement LR Finder or “LR Range Test”.
* [3 Simple Tricks That Will Change the Way You Debug PyTorch](https://medium.com/@adrian.waelchli/3-simple-tricks-that-will-change-the-way-you-debug-pytorch-5c940aa68b03)
Every Deep Learning project is different. No matter how much experience you bring with you, there will always be new challenges and unexpected behavior you will struggle with. The skill- and mindset that you bring to the project will determine how quickly you discover and adapt to the obstacles that stand in the way of success.