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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
Keras Debugging Tips
Four simple tips to help you debug your Keras code.
debugging tensorflow keras tutorial
Checklist for debugging neural networks
Tangible steps you can take to identify and fix issues with training, generalization, and optimization for machine learning models.
debugging checklist systems-design tutorial
Debugging Neural Networks with PyTorch and W&B
A closer look at debugging common issues when training neural networks.
debugging experiment-tracking wandb pytorch
🚧 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
Visualizing Memorization in RNNs
Inspecting gradient magnitudes in context can be a powerful tool to see when recurrent units use short-term or long-term contextual understanding.
interpretability visualization recurrent-neural-networks memorization
ELI5
A library for debugging/inspecting machine learning classifiers and explaining their predictions.
interpretability eli5 debugging inspection
Manifold
A model-agnostic visual debugging tool for machine learning
debugging machine-learning visual-debugging model-agnostic
TensorWatch
TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Microsoft Research. It works in ...
debugging monitoring visualization article
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