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Recommendation of weights and biases for new machine learning project.
What do you like best about the product?
Support almost all kind of frameworks whether it is pytorch or tensorflow on any other . It integrates very easily with other and collaborative in the real time .
What do you dislike about the product?
Nothing to be disliked about in the application. I can just say i can be more user friendly and interactive. I find some operation that can be very simple but are difficult to use .
What problems is the product solving and how is that benefiting you?
Solving most of my machine learning projects problems as there are very good tools available in the application. I personally use tensorflow framework and it quite easy to use and has many easy tools available.
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The most important tool in ML for fast iteration
What do you like best about the product?
W&B is the best platform to support experimental workflows in ML. Rapid turn-around time and extensive experimentation is key to identify what works best, but you also need to keep track and motivate your choices before deploying, especially for safety-critical areas like automomous driving and robotics. W&B enables both: massive experimentation and clear management. Plus having everything in the browser, shareable, and with deep introspection capabilities is a huge productivity boost for any collaborative project. My team and I have been using it since day 1 and we can't live without it!
What do you dislike about the product?
Nothing! The team just keeps adding features and responds really quickly to any of our bug reports.
What problems is the product solving and how is that benefiting you?
Experimentation at scale, hyperparameter search, traceability, research exploration, continuous training and deployment of models.
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