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Tips for Successfully Training Transformers on Small Datasets
It turns out that you can easily train transformers on small datasets when you use tricks (and have the patience to train a very long time).
transformers small-datasets training ptb
A Recipe for Training Neural Networks
The most common neural net mistakes and listing a few common gotchas related to training neural nets.
checklist training debugging article
Data Project Checklist
There’s a lot more to creating useful data projects than just training an accurate model!
product-management databases training checklist
Customizing What Happens in Fit()
How to leverage the convenient features of fit() with a custom training loop.
tensorflow keras training tutorial
PyTorch CNN Trainer
A simple package to fine-tune CNNs from torchvision and Pytorch Image models by Ross Wightman.
torchvision convolutional-neural-networks pytorch training
Train ALBERT for NLP with TensorFlow on Amazon SageMaker
To train BERT in 1 hour, we efficiently scaled out to 2,048 NVIDIA V100 GPUs by improving the underlying infrastructure, network, and ML framework.
bert transformers albert natural-language-processing
Training GANs - From Theory to Practice
Optimizing min-max loss functions that arise in training GANs.
generative-adversarial-networks training loss loss-functions
TOMA: Torch Memory-adaptive Algorithms
Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory.
training cuda lstm gpu
🚧 Simple considerations for simple people building fancy NNs
I will try to highlight a few steps of my mental process when it comes to building and debugging neural networks.
checklist training debugging recipe
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