Chapter
Balancing Deadlines and Quality in TensorFlow 2.0 Development
59:11 - 1:03:50 (04:39)
The TensorFlow 2.0 team discusses the challenges of balancing deadlines and quality in software development and mentions the importance of finding a balance. They also mention their strategy of releasing frequent updates to improve the product.
Clips
The success of a product depends on finding a balance between different aspects of development such as speed, involving the larger community, and making hard decisions; TensorFlow strikes this balance very well, making timely decisions when necessary and involving the community when appropriate.
59:11 - 1:00:33 (01:22)
Summary
The success of a product depends on finding a balance between different aspects of development such as speed, involving the larger community, and making hard decisions; TensorFlow strikes this balance very well, making timely decisions when necessary and involving the community when appropriate.
ChapterBalancing Deadlines and Quality in TensorFlow 2.0 Development
EpisodeRajat Monga: TensorFlow
PodcastLex Fridman Podcast
Deadlines bring a sense of urgency to prioritize key aspects that are important rather than trying to achieve perfection.
1:00:33 - 1:02:05 (01:31)
Summary
Deadlines bring a sense of urgency to prioritize key aspects that are important rather than trying to achieve perfection. It's important to strike the right balance and communicate clearly when launching experimental projects.
ChapterBalancing Deadlines and Quality in TensorFlow 2.0 Development
EpisodeRajat Monga: TensorFlow
PodcastLex Fridman Podcast
The TensorFlow 2.0 release does not have external deadlines, but the team will be releasing frequent updates to improve it as they work towards the release candidate and final versions.
1:02:05 - 1:03:50 (01:45)
Summary
The TensorFlow 2.0 release does not have external deadlines, but the team will be releasing frequent updates to improve it as they work towards the release candidate and final versions.