Benan Akça

● Data Science and Machine Learning Enthusiast @Kaggle
● Ph.D. Student at Marmara University
● Electrical and Electronic Engineer

[Aurélien Geron @aureliengeron]

Sometimes validation loss < training loss. Ever wondered why? 1/5

[Dave PayPigs @ailabsltd]

🤗

[Benan Akça @BenanAkca_]

@ailabsltd Çok güzel bir düşünce tebrikler 👏

[Delip Rao e/σ @deliprao]

#deepfakes for cats. Cats can’t trust what’s real anymore. https://t.co/TwD5oBRK9K

[Bojan Tunguz @tunguz]

Nothing like coming home on a cold Wintry day to a roomful of GPUs training deep NN models.

[Kaggle @kaggle]

Applications open now! We've kicked off the Kaggle Open Data Research Grant to support academic researchers on Kaggle! 19 grants of $2k-$5k each. Application deadline: Jan 9th, 2020 https://t.co/nrmCpi29MO

[Benan Akça @BenanAkca_]

@tunguz @nvidia @rapidsai @kaggle Congrats 😊

[Benan Akça @BenanAkca_]

I would be very happy if anyone interested makes comments for improvement.🙂
#kaggle #CNN #DeepLearning #ComputerVision
@deeplearningtr @deeplearningai_ @DeepLearningHub

https://t.co/48L27asfVL

[Benan Akça @BenanAkca_]

I recently published a kernel in Kaggle, which includes a brief theoretical knowledge and practical application of Convolutional Neural Networks (CNN).
#kaggle #CNN #DeepLearning #ComputerVision
@deeplearningtr @deeplearningai_ @DeepLearningHub

[Benan Akça @BenanAkca_]

NeurIPS can't handle what I just submitted to #kaggle https://t.co/9exMY5r9TE

[Yann LeCun @ylecun]

People are biased.
Data is biased, in part because people are biased.
Algorithms trained on biased data are biased.
But learning algorithms themselves are not biased.
Bias in data can be fixed.
Bias in people is harder to fix. https://t.co/6pAHiDC6aN