Deep learning pipeline in 2021 - Best practices
In this video, we show how a deep learning project needs to be structured based on our past learnings. We also discuss some of the challenges large companies like Facebook faces due to the non-standardization of their deep learning pipelines.
We compare how these issues are relevant for researchers, small and large teams.
Finally, We also see how most of the deep learning solutions look today and how they could potentially evolve in 2021 and years to come.
We have used the following frameworks and tools
-- PyTorch
-- PyTorch Lightning
-- Hydra
-- Weights and biases
Github repo: https://github.com/svishnu88/CatsandDogs
Видео Deep learning pipeline in 2021 - Best practices канала JarvisLabs AI
We compare how these issues are relevant for researchers, small and large teams.
Finally, We also see how most of the deep learning solutions look today and how they could potentially evolve in 2021 and years to come.
We have used the following frameworks and tools
-- PyTorch
-- PyTorch Lightning
-- Hydra
-- Weights and biases
Github repo: https://github.com/svishnu88/CatsandDogs
Видео Deep learning pipeline in 2021 - Best practices канала JarvisLabs AI
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