Rajaram

@Rajaram1196

Artificial intelligence research intern . | Man on mission - To live the best life possible come what may

Raleigh, NC
Vrijeme pridruživanja: travanj 2019.

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  1. proslijedio/la je Tweet
    14. pro 2019.

    1. See failure as a beginning. 2. Never stop learning. 3. Assume nothing, question everything. 4. Teach others what you know. 5. Analyze objectively. 6. Practice humility. 7. Respect constructive criticism. 8. Take initiative. 9. Give credit where it's due. 10. Love what you do.

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  2. 17. stu 2019.

    Less time struggling with gridsearchCV! Finally.

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  3. 14. stu 2019.

    Predicting Parameters in Deep Learning focuses on part of this idea.

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  4. 14. stu 2019.

    Imagine how cool will it be, if we train a model to predict the weights and biases of another neural network. Collection of all models and it's weights and biases might be a nightmare though!

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  5. proslijedio/la je Tweet

    Nice work & repo on knowledge distillation dark knowledge remains one of few amusingly brain-tickling / head-scratching results in neural nets

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  6. proslijedio/la je Tweet
    5. stu 2019.

    The full GPT-2 model is finally out. I dunno, guys.

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  7. proslijedio/la je Tweet
    1. stu 2019.
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  8. proslijedio/la je Tweet

    Launched yesterday: hosted, shareable TensorBoard dashboards

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  9. 30. lis 2019.

    Cant wait to give this a shot.

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  10. proslijedio/la je Tweet
    24. lis 2019.

    Dress up as a TCP packet for Halloween... Them: what are you dressed as? You: are you ready for me to tell you? Them: I am ready for you to tell me You: ok I am going to tell you Them: ok You: I am a TCP packet Them: ... You: I am a TCP packet Them: ok

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  11. proslijedio/la je Tweet
    25. lis 2019.

    In the slides of at was the cutest ever math program formulation with "emojis" as variables. I liked it. Since supports unicode names, we can indeed use emojis for variable names in models.

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  12. proslijedio/la je Tweet
    22. lis 2019.

    Come to Mercury room for hands-on training session by our CTO New York – mjesto: New York Hilton Midtown

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  13. 21. lis 2019.

    Saves a lot of time, printing shapes and staring at your screen as to why the tensor does not fit.

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  14. 19. lis 2019.

    I just had the chance to listen to the conversation about this paper at . The provided examples about shortcomings of BERT, made me think about how much progress have been made, yet how far we still are from AGI.

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  15. proslijedio/la je Tweet
    15. lis 2019.

    Baa, baa, Kubernetes, Have you any pods? Yes sir, yes, sir, They're all in prod; One for the master And one for the node And for the little service That can balance the load.

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  16. 14. lis 2019.
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  17. proslijedio/la je Tweet
    12. lis 2019.

    Mish: Self Regularized Non-Monotonic Activation Function By 𝑓(𝑥)=𝑥⋅𝑡𝑎𝑛ℎ(𝑠𝑜𝑓𝑡𝑝𝑙𝑢𝑠(𝑥)) Increased accuracy over Swish/ReLU Increased performance over Swish Github ArXiv

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  18. 11. lis 2019.

    I had the chance to work on my application solely using Ludwig (Facial emotion recognition) and while the learning curve is there, I believe it has the potential to entice more people into the field of ML.

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  19. proslijedio/la je Tweet
    10. lis 2019.

    Welcome to grad school where at least once a week you will doubt every single aspect of your life, including what you’re doing, all of your abilities, and your career path.

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  20. proslijedio/la je Tweet
    28. lip 2019.

    [D] In your opinion what are the best books, videos or any other resources that teach/discuss applying machine learning to EEG data?

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