Phase 2 of Deep learning course is starting on Oct 30 and I am sure lot of students from Phase-1 are curious to know how it is different and how they can adapt and get prepared for changes and new things.
Started this forum for everyone to contribute their questions and get answers from you and this wonderful community.
- We are currently working with keras framework and will there be a major change in terms of pytorch to adapt?
- Pytorch is becoming go to tool for research purposes, any thoughts on how we can leverage for production applications?