Tweetovi

Blokirali ste korisnika/cu @Jay_Bhatt_007

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @Jay_Bhatt_007

  1. proslijedio/la je Tweet

    Speech2Face: Learning the Face Behind a Voice With increasingly large/effective library of neural net encoders of any X and decoders of any Y, any source of paired data X,Y can give X2Y nets. And opens the door to many X2Y2Z2W...2X

    Poništi
  2. proslijedio/la je Tweet

    Training ever bigger convnets and LSTMs on ever bigger datasets gets us closer to Strong AI -- in the same sense that building taller towers gets us closer to the moon.

    Prikaži ovu nit
    Poništi
  3. proslijedio/la je Tweet
    3. tra 2019.

    Today we're releasing a large-scale extendable dataset of mathematical questions, for training (and evaluating the abilities of) neural models that can reason algebraically. Paper: Code and data:

    Poništi
  4. proslijedio/la je Tweet

    Are you a deep learning researcher? Wondering if all this TensorFlow 2.0 stuff you heard about is relevant to you? This thread is a crash course on everything you need to know to use TensorFlow 2.0 + Keras for deep learning research. Read on!

    Prikaži ovu nit
    Poništi
  5. proslijedio/la je Tweet

    Using Keras for "thought reading" (subvocalized word classification from EEG signals): 🧠

    Poništi
  6. proslijedio/la je Tweet
    4. ožu 2019.

    Using deep learning to implement linear regression

    Poništi
  7. proslijedio/la je Tweet
    20. pro 2018.

    NeverGrad: gradient free optimization library. Now open source.

    Poništi
  8. proslijedio/la je Tweet
    26. stu 2018.

    Microsoft VSCode integrates deeply with PyTorch out of the box. As highlights: 1. It shows values inside tensors. (Left panel) 2. By simply mousing over, you can see the variable's shape, weight, bias, dtype, device, etc.

    Poništi
  9. proslijedio/la je Tweet
    15. stu 2018.

    Using GANs to generate Master[Finger]Prints that unlock 22-78% phones sensors (dep. on security level of sensor) .. doesn't get much more "adversarial" than that.

    Poništi
  10. proslijedio/la je Tweet
    25. ruj 2018.

    Today we are open-sourcing our code for "The mechanics of n-player differentiable games"! Code: Original paper:

    Poništi
  11. proslijedio/la je Tweet
    4. ruj 2018.

    Excited to announce GAN Lab! Interactive visualization to learn by , powered by .js! Try in your browser Great collaboration with ! '18 paper:

    Poništi
  12. proslijedio/la je Tweet
    5. ruj 2018.

    Announcing the launch of Dataset Search, a new way for researchers to find the datasets they need, wherever they’re hosted, whether it’s a publisher's site, a digital library, or an author's personal web page. Learn more at

    Poništi
  13. proslijedio/la je Tweet

    It's been our goal since we launched to run on as many platforms as possible. We're happy to announce that it's now easier than ever to install TensorFlow on your ! Learn more in 's post ↓

    Poništi
  14. proslijedio/la je Tweet
    20. srp 2018.

    Unsupervised pre-training is starting to work quite well for learning visual representations. Here is a new paper from FAIR-Paris that demonstrates how this works.

    Poništi
  15. proslijedio/la je Tweet

    This paper includes 15 TensorFlow Hub modules to generate images using GANs! Check out the colab notebook to try it out →

    Poništi
  16. proslijedio/la je Tweet
    1. srp 2018.

    Adversarial Reprogramming of Neural Networks A new goal for adversarial attacks! Rather than cause a specific misclassification, we force neural networks to behave as if they were trained on a completely different task! With ,

    Poništi
  17. proslijedio/la je Tweet
    27. lip 2018.
    , , i još njih 2
    Prikaži ovu nit
    Poništi
  18. proslijedio/la je Tweet

    If you're interested in autonomous vehicles, Microsoft has released a tutorial (with complete Keras code) for training an end-to-end driving model in the AirSim simulation environment:

    Poništi
  19. proslijedio/la je Tweet

    Random weekend thought: The human body would make an amazing camera. Our necks are great stabilizers. Shutter speed is always perfect. Eyeballs have incredible dynamic range and really fast autofocus... Just needs better memory.

    Poništi
  20. proslijedio/la je Tweet

    Just found this Rewind easter egg… Take a look around, you might get unboxed - ( ͡° ͜ʖ ͡°)

    Poništi

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.

    Možda bi vam se svidjelo i ovo:

    ·