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Rajaram proslijedio/la je Tweet
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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Less time struggling with gridsearchCV! Finally.https://twitter.com/random_forests/status/1196117531335053313 …
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Predicting Parameters in Deep Learning https://arxiv.org/abs/1306.0543 focuses on part of this idea.
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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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Rajaram proslijedio/la je Tweet
Nice work & repo on knowledge distillation https://github.com/HobbitLong/RepDistiller … dark knowledge remains one of few amusingly brain-tickling / head-scratching results in neural nets
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Rajaram proslijedio/la je Tweet
The full GPT-2 model is finally out. I dunno, guys.pic.twitter.com/k5dP8V2sa5
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Rajaram proslijedio/la je Tweet
Juggler juggling jugglers. Wow. https://tinyurl.com/y2d4ad74 pic.twitter.com/nPa5etlSh2
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Rajaram proslijedio/la je Tweet
Launched yesterday: hosted, shareable TensorBoard dashboards https://tensorboard.dev/
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Rajaram proslijedio/la je Tweet
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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Rajaram proslijedio/la je Tweet
In the slides of
@mxmmargarida at#informs2019 was the cutest ever math program formulation with "emojis" as variables. I liked it. Since#JuliaLang supports unicode names, we can indeed use emojis for variable names in@JuMPjl models.pic.twitter.com/5cviuplAIH
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Rajaram proslijedio/la je Tweet
Come to Mercury room for hands-on
@h2oai#DriverlessAI training session by our CTO@ArnoCandel#H2OWorld New Yorkpic.twitter.com/GJ6wa5YAzH – mjesto: New York Hilton Midtown
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Saves a lot of time, printing shapes and staring at your screen as to why the tensor does not fit.https://twitter.com/zaidalyafeai/status/1186033431932755972 …
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I just had the chance to listen to the conversation about this paper at https://podcasts.google.com/?feed=aHR0cDovL2RhdGFza2VwdGljLmxpYnN5bi5jb20vcnNz&episode=OTE0M2JkYjkyNDY1NDYyNGE0NzUxOGIwOWE5OWJkNGM …. 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.https://twitter.com/AllysonEttinger/status/1161661512156684289 …
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Rajaram proslijedio/la je Tweet
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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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Rajaram proslijedio/la je Tweet
Mish: Self Regularized Non-Monotonic Activation Function By
@DigantaMisra1 𝑓(𝑥)=𝑥⋅𝑡𝑎𝑛ℎ(𝑠𝑜𝑓𝑡𝑝𝑙𝑢𝑠(𝑥)) Increased accuracy over Swish/ReLU Increased performance over Swish Github https://github.com/digantamisra98/Mish … ArXiv https://arxiv.org/abs/1908.08681v2 …pic.twitter.com/zlyQ0hwggt
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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.https://twitter.com/w4nderlus7/status/1154068428853956608 …
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Rajaram proslijedio/la je Tweet
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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Rajaram proslijedio/la je Tweet
[D] In your opinion what are the best books, videos or any other resources that teach/discuss applying machine learning to EEG data? http://dlvr.it/R7SwTx
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