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Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.

Puthucode Annapoorneshwari Temple,
Palakkad, Kerala 🚩
#keralatemples
अन्नपूर्णे सदापूर्णे शङ्करप्राणवल्लभे 
ज्ञानवैराग्यसिद्ध्यर्थं भिक्षां देहि च पार्वति 

Temple is also called Puthukode Bhaghavathy Kshetram
Parasurama did Prathishta of Devi here. Temple is one amoung 👇

108 Durga temples
Navarathri festival is celebrated in a grant manner here. Annadanam is done daily on these days. The Idichu pizhinja payasam/ Chathachatayam is the main nivedyam in Annapoorneswari temple during Navarathri.
In the mornings, Devi Mahatmyam and Sundarakandam are

recited here daily.
Sri Godavarma Raja gifted lots of rice fields for the maintenance of the temple.
Annapoorneshwari holds Shanku and Chakra in her hands. Puthucode Annapoorneswari Temple is managed by the Naduvil Madom Devaswom.
🙏🕉🙏