Chapter
Deploying TensorFlow for Both Researchers and Production Teams
31:21 - 36:16 (04:54)
The usage of TensorFlow goes beyond researchers and is now widely used by production teams, with the push towards enabling others to build their own systems through TensorFlow 2.0.
Clips
TensorFlow has various components ranging from research tools to production-oriented systems, which are being employed by both researchers and developers.
31:21 - 33:07 (01:46)
TensorFlow
Summary
TensorFlow has various components ranging from research tools to production-oriented systems, which are being employed by both researchers and developers. The focus on enabling everyone to build what they care about will broaden the community and improve the overall ecosystem.
ChapterDeploying TensorFlow for Both Researchers and Production Teams
EpisodeRajat Monga: TensorFlow
PodcastLex Fridman Podcast
Developing a complex system that has been rapidly evolving for over four years poses many technical challenges, including accommodating new hardware devices, modifying existing features, and breaking up systems into smaller components for more efficient development.
33:07 - 36:16 (03:08)
System Development
Summary
Developing a complex system that has been rapidly evolving for over four years poses many technical challenges, including accommodating new hardware devices, modifying existing features, and breaking up systems into smaller components for more efficient development.