I believe on difference, between myself and those who are able to hang out with those who remain Trumpists, is an ability to weigh character only by who others are when they are with you, not who they are when you aren't there to watch.

I can't do that.

They’re shooting into the chamber.

Santkumaras-The four adorable kids of the Universe.

The Kumaras r the four sages who roam the Universe as children from the Puranic texts of Hinduism named,Sanaka, Sanatana,Sanandana& Sanatkumara.They r described as the first mind-born creations &sons of the creator God Brahma.

Brahma,who had received the knowledge of Puranas from the Universal being(God Himself), imbibed this to his 4 Kumaras.
Sanat Kumaras then taught the Puranas to Narada.Narada transmitted it to Krishna Dwaipayana who in turn scripted them in monumental epic documents of 18 Puranas.

The Vishnu Purana is recorded in two parts,the Vishnu Purana & Naradiya Purana.The teachings of Sanaka of the Kumara brothers r contained in the Naradiya Purana which is also divided in two parts, the first part containing the teachings of Sanaka &second part,teachings of others.

Born from Brahma's mind,4 Kumars took lifelong vows of celibacy against their father's wishes.They r said to wander throughout materialistic &spiritualistic universe without any desire but with the aim to teach.All 4 brothers studied Vedas from their Childhood&travelled together.

The Bhagwata Purana lists the Kumaras among the 12 Mahajanas(great devotees or bhaktas) who although being eternally liberated souls from birth, still became attracted to the devotional service of Vishnu from their already enlightened state.

Shri Hanuman had boon to be immortal. And be present where ever there is Ram stuti.
I came across this beautiful story that I would like to share
#threadstories
#Hanuman ji is believed to live in the foothills of Himalayas. But once he spent a lot of time in Sri Lanka
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Where Ravan's brother ruled for many years..
On his way back he came across tribal people from community called #Mathanga
He gave Darshan to them. The chief of the tribe asked him to keep coming back to guide their generations
Hanuman ji said that whoever recites this mantra
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I will give them Darshan. But there are two conditions
1st he/she must know his relationship with me
2nd there must not be anyone around him in 950 mts radius. If present, that person must also know about my relationship with him /her.

He promised to come after every 41 yrs
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The Mathangs also maintain a ‘logbook’ where they record all the words spoken and ‘leelas’ performed by Lord Hanuman.
They call him their Guru
Who teaches them how to live their lives.
A Sri Lankan organization called Setuu is studying this ‘logbook’ and also conduct
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programmes for Hanuman devotees who can do ‘Sadhna‘ under the guidance of Setuu masters. Devotees who qualify all the criteria will be eligible for Hanuman’s ‘sakshaat darshan‘
The Setuu has certain conditions that need to be kept in mind which includes devoting one complete
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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.