Three widely used frameworks are leading the way in deep learning research and production today. Which one should you use?
Deep learning is solving challenging problems in industries as diverse as retail, manufacturing, and agriculture. These companies are leading the way.
From data preparation and training to model deployment, these start-ups offer state-of-the-art platforms for managing the entire machine learning lifecycle.
Look no further than these excellent free resources to master the development of deep learning models using PyTorch.
PyTorch​ is definitely the flavour of the moment, especially with the recent 1.3 and 1.4 releases bringing a host of performance improvements.
