Deep-Learning
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A few notebooks about deep learning in pytorch
Deep Learning Notebooks
Here are my jupyter notebooks on deep learning. All of them are written in pytorch and most of them use the fastai library.
Tutorials
- Using the new training API in fastai.
- Building a simple neural net in pytorch.
- Explore the fastai callback system.
Implementation of articles
- Neural cache pointer introduce by Grave et al.
- Superconvergence on cifar10 using the 1cycle policy introduce by Leslie Smith
- Deep painterly harmonization from this article
- Adam and weight decay for the correction preoposed in this article
The rest is just a bun of random stuff shared with fellow fastai students.