Mahmudulla Hassan

@iamhassanmohsin

Vrijeme pridruživanja: travanj 2018.
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  1. proslijedio/la je Tweet
    4. sij

    [Papers with Code] Image Classification on ImageNet

    8 replies 86 proslijeđenih tweetova 363 korisnika označavaju da im se sviđa
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  2. proslijedio/la je Tweet
    29. stu 2019.

    GPT-2 passes the Cards Against Humanity Turing test:

    As a Black Friday challenge, Cards Against Humanity's writers are creating new cards alongside GPT-2, each trying to create the most popular pack. Neck and neck so far: have sold $25,115 in GPT-2-authored cards vs $25,955 in human-authored cards.
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    29 proslijeđenih tweetova 116 korisnika označava da im se sviđa
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  3. 25. stu 2019.

    An interview with the GPT-2 model, the great NLP neural network developed by

    1 korisnik označava da mu se sviđa
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  4. proslijedio/la je Tweet
    18. stu 2019.

    Well, this is neat.

    11 replies 216 proslijeđenih tweetova 769 korisnika označava da im se sviđa
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  5. proslijedio/la je Tweet
    18. stu 2019.

    New Keras feature: the TextVectorization layer. It takes as input strings and takes care of text standardization, tokenization, and vocabulary indexing. This enables you to create models that process raw strings. End-to-end text classification example:

    16 replies 328 proslijeđenih tweetova 1.320 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    28. lis 2019.

    Emtremely excited to finally share a side-project I've been working on for the past few months: Neural Synesthesia, visualizing music with ! So many ideas left to explore, this journey is just getting started.. More HD renders on my new YT channel:

    71 reply 1.126 proslijeđenih tweetova 3.531 korisnik označava da mu se sviđa
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  7. proslijedio/la je Tweet
    25. lis 2019.

    taking about and

    2 proslijeđena tweeta 5 korisnika označava da im se sviđa
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  8. proslijedio/la je Tweet
    25. lis 2019.

    Southwest Regional Meeting on / on and Disease Biology.

    3 proslijeđena tweeta 11 korisnika označava da im se sviđa
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  9. 23. lis 2019.

    A new era of computing has just began. This is an accomplishment similar to what the Wright brothers did in 1903 with their first flight.

    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 ↓
    1 proslijeđeni tweet 1 korisnik označava da mu se sviđa
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  10. proslijedio/la je Tweet
    16. lis 2019.

    Machine learning portfolio tips 1. Good ideas come from ML sources that are a bit quirky. - NeurIPS from 1987 - 1997 - Stanford’s CS224n & CS231n projects - Twitter likes from ML outliers - ML Reddit’s WAYR - Kaggle Kernels - Top 15-40% papers on Arxiv Sanity

    15 replies 557 proslijeđenih tweetova 2.435 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    11. lis 2019.

    Our kinase-ligand pki based predictive model (KinasepKipred) paper model is now available on . . The webportal for the application is

    3 proslijeđena tweeta 9 korisnika označava da im se sviđa
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  12. proslijedio/la je Tweet
    1. lis 2019.

    Fully agree with Adrian. TF 2.0 isn't just a library that does GPU-accelerated computation, it's a ML platform and ecosystem spanning dozens of pieces, covering an incredible diversity of use cases. The scope and depth differ so much from PyTorch that you can't compare the two.

    Odgovor korisniku/ci @vineelaero
    PyTorch is a nice library but I find it easier to quickly and efficiently develop experiments with TF/Keras. And now that TF 2 is out it’s *far* easier to develop custom layers/losses as well. Nothing against PyTorch but with TF 2 out I think the TF/Keras combo wins out.
    8 replies 41 proslijeđeni tweet 164 korisnika označavaju da im se sviđa
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  13. proslijedio/la je Tweet
    1. lis 2019.

    reinforcement learning

    37 replies 291 proslijeđeni tweet 1.524 korisnika označavaju da im se sviđa
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  14. proslijedio/la je Tweet
    26. ruj 2019.

    🤗Transformers 2.0💥 State-of-the-art NLP in TensorFlow 2.0/PyTorch 8 architectures 33 trained models 102 lang. Seamlessly pick the right framework for training, eval, deploy Train on TPU ⏩ finetune/test in PyTorch ⏩ serve w. TFX 🍒Keras magic: train SOTA model in 10 lines👇

    453 proslijeđena tweeta 1.636 korisnika označava da im se sviđa
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  15. proslijedio/la je Tweet
    30. ruj 2019.

    submissions on graph neural networks, NLP and robustness have the greatest growth.

    , , i još njih 7
    5 replies 95 proslijeđenih tweetova 270 korisnika označava da im se sviđa
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  16. proslijedio/la je Tweet
    30. ruj 2019.

    TensorFlow 2.0.0 release is out now: Huge milestone for the machine learning ecosystem. Congratulations to the hundreds (yes) of people who have contributed!

    16 replies 646 proslijeđenih tweetova 1.910 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    25. ruj 2019.

    If you want to believe something, you'll find ten ways to convince yourself. We are expert at fooling ourselves. So always take your own opinions with a grain of salt

    18 replies 281 proslijeđeni tweet 1.266 korisnika označava da im se sviđa
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  18. proslijedio/la je Tweet
    20. kol 2019.

    Reinforcement Learning is at the forefront of AI research. This is one of the first truly *introductory* tutorials of RL & Deep Learning I've seen. My kind of tutorial... lots of toy code examples and simple analogies!!! Excellent for

    6 replies 258 proslijeđenih tweetova 1.067 korisnika označava da im se sviđa
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  19. 9. kol 2019.

    This is slick!

    One of the big changes in TF 2.0 is how easy it is to write custom training loops for your models:
    1 korisnik označava da mu se sviđa
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  20. proslijedio/la je Tweet
    23. srp 2019.

    Just saying.

    116 replies 1.082 proslijeđena tweeta 3.428 korisnika označava da im se sviđa
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