Tweetovi

Blokirali ste korisnika/cu @adelka06615447

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @adelka06615447

  1. proslijedio/la je Tweet
    2. velj

    This is what Tesla Autopilot sees using neural networks that take 70,000 GPU hours to train and output 1,000 tensors (predictions) at each timestep. Source:

    Poništi
  2. proslijedio/la je Tweet
    29. sij

    ‘Mapping the future’: our recent paper, which provides insight into previously unexplained elements of dopamine-based learning in the brain, is on the front cover of ! 🎉 Read the blog:

    Poništi
  3. proslijedio/la je Tweet
    20. sij

    Given the smoothness of videos, can we learn models more efficiently than with ? We present Sideways - a step towards a high-throughput, approximate backprop that considers the one-way direction of time and pipelines forward and backward passes.

    Poništi
  4. proslijedio/la je Tweet
    16. sij

    torchvision v0.5: quantization, production - ResNets, MobileNet, ShuffleNet, GoogleNet and InceptionV3 now have quantized counterparts with pre-trained models, scripts for quantization-aware training. - All models are TorchScript-ready and ONNX-ready

    Poništi
  5. proslijedio/la je Tweet
    14. sij

    Learn how to automate most of the infrastructure work required to deploy PyTorch models in production using Cortex, an open source tool for deploying models as APIs on AWS.

    Poništi
  6. proslijedio/la je Tweet
    6. sij

    TorchIO from brings tools for - patch-based training and inference of 3D medical images - multiple transforms for data augmentation used in medical imaging He's looking for contributions and feedback

    Poništi
  7. proslijedio/la je Tweet
    2. sij

    A Nature paper demonstrates an autonomous bicycle powered by a new type of artificial intelligence chip, which combines brain-inspired and computer-science-based approaches to AI. Read the paper:

    Poništi
  8. proslijedio/la je Tweet
    4. srp 2019.

    Can we learn meaningful behaviors and their dynamics without any rewards? Yes! And we can solve new tasks zero-shot by using MPC to compose the learned skills. Dynamics-Aware Discovery of Skills (DADS): w/ , Shane Gu, ,

    Prikaži ovu nit
    Poništi
  9. proslijedio/la je Tweet
    10. pro 2019.

    NeurIPS Live Streaming

    Poništi
  10. proslijedio/la je Tweet

    Пишут, что Лужков умер в Мюнхене. В уникальные времена живём: патриоты умирают заграницей, а иностранные агенты в Саратове

    Poništi
  11. proslijedio/la je Tweet
    15. stu 2019.

    Pyro 1.0 is released: stable APIs, a jit-compatible Predictive helper, new normalizing flows, parallel-scan GPs and state space models, more-automatic AutoGuides, an OED tutorial, FoldedDistribution, and PyroModule[-] to make your nn.Modules Bayesian

    Poništi
  12. proslijedio/la je Tweet
    15. stu 2019.

    M-theory is a promising model that unifies quantum mechanics and gravitation, but is difficult to solve analytically. New work published in demonstrates how solutions can be found for this model through novel applications of TensorFlow. Learn more ↓

    Poništi
  13. proslijedio/la je Tweet
    14. stu 2019.

    Interested in robotics research? Tune into the livestream now (GMT -3, PST 9AM) to watch a talk by Research Scientist on robotics and continuous control!

    Poništi
  14. proslijedio/la je Tweet
    13. stu 2019.

    Our research features on the cover of this week! Read the paper here:

    Poništi
  15. proslijedio/la je Tweet
    13. stu 2019.

    We are pleased to announce the release of source code and checkpoints for MobileNetV3 and the Pixel 4 Edge TPU-optimized counterpart, MobileNetEdgeTPU, advancing state-of-the-art for computer vision tasks on compute and power-limited devices. Learn more ↓

    Poništi
  16. proslijedio/la je Tweet
    10. stu 2019.

    Oldies but goldies: L. Kantorovich, On translocation of masses, 1942. "Nobel" Prize in economic 75 for optimal transport as a convex linear program. Makes the transport problem formulated by Gaspard Monge tractable by allowing splitting of mass.

    Poništi
  17. proslijedio/la je Tweet
    6. stu 2019.

    We’re pleased to release the Visual Task Adaptation Benchmark (VTAB), a diverse, realistic, and challenging protocol to measure progress towards universal visual representations. Learn all about it below.

    Poništi
  18. proslijedio/la je Tweet
    23. lis 2019.

    We are excited to announce the results of our quantum supremacy experiment. Using a fully programmable, 54-qubit processor, called “Sycamore”, we have performed a calculation in 200 seconds that’s infeasible on the fastest supercomputers. Learn more ↓

    Poništi
  19. proslijedio/la je Tweet
    17. lis 2019.

    Neural architecture evolution, a new method for automatically finding optimal neural networks for video understanding, has yielded architectures that outperform existing hand-made models and show improvements to network runtime of 10-100x. Learn more ↓

    Poništi
  20. proslijedio/la je Tweet
    29. ruj 2019.

    Want to learn deep RL? My deep RL course now has a permanent course number (CS285) and is being offered this semester: Lecture videos here (so far, we've gotten through most of model-free RL, model-based RL coming up next):

    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:

    ·