Rezultati pretraživanja
  1. 9. tra 2019.

    If you're interested, check out the slides from our talk and workshop at 19 The talk has some details on the roadmap (DAGs, ONNX, etc)

  2. 21. lip 2019.
  3. 23. sij

    It was my pleasure meeting you yesterday at . Here is the link that mention onnxruntime's GPU support. And this is the onnx backend using. Is this what you were looking for?

  4. 14. stu 2019.

    Full house and a lots of interesting conversations afterwards when I talked about -time and with . The screenshot shows an AI Model in action which is served by the module.

    Prikaži ovu nit
  5. 22. sij

    Next up at is my talk showing the performance of over other solutions such as TF serving and the integration. But if you wanna see what's this integration contains, take a look

  6. 5. svi 2019.

    Long story short, is already stable and supports main DS libs. It allows storing models and scripts on with lots of scaling extras that come with that. Truly great utility by

  7. 21. tra 2019.

    Check out this amazing article written by ; explaining the need of that efficiently deploys models during the production.

  8. 9. kol 2019.

    my talk at first ever on , & is in 30 minutes at hall # 2. Tag along, if you are here. The link to the presentation is here

  9. 16. svi 2019.
  10. 28. srp 2019.
  11. 16. svi 2019.
  12. 2. lis 2019.

    We blogged/spoke about being a good fit for models having an intermediate state tensor. Now you can play around with it yourself in this chatbot demo! credits to

  13. 23. tra 2019.

    Courtesy of , here's an in-depth post presenting . Try it out if you'd like, feedback super-welcome! See you on GitHub:

  14. 15. svi 2019.
  15. 24. svi 2019.

    It's been a few days already, but the videos from 19 are out. There's a talk here with My time at the Keynote is here . The chatbot demo there is pretty funny, if I may say so myself :-)

  16. 2. tra 2019.

    established new standard for multi model databases. RedisGears, RedisAI, and RedisTimeSeries modules make Redis the most versatile database operating at sub-millisecond latency

  17. 4. sij

    Today Pune-Developers-Community hosted and Jayesh Ahire presented how to build deep learning applications using redis modules. helps to build your machine learning solution with speed of redis.

  18. 24. svi 2019.

    Hear our CEO talk about at 19. RedisAI is maturing from preview to GA before the summer, let us know if you'd like to take a ride.

  19. Announcing = Redis (+Streams) + + . Bringing the cloud intelligent and the speed to the Edge. Live Streaming:

  20. 22. sij

    is essentially a module introducing tensorflow as data types

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.