Deepak Nitrate
Breakout

@Jitendra_stock @nishkumar1977

1. This is "Hollie The Card".

She's a Doctor, Physician, PhD, MA, Clinical Psychologist, Hospital Consultant, PTSD consultant, Long Covid Consultant.

(Thread)

2. Although sometimes she’s also an AUTHOR and English Academic.

3. A Hospital Consultant and ex Gymnast.

(Pinterest public profile)

4. A Physician, Doctor, or hospital consultant.

A “Hospital Consultant”, would probably mean a senior doctor, in the UK at least.

5. Hollie changes her Twitter picture and bio so often, it’s hard to keep up with her qualifications.

#DoYouKnow -The place where
Lalitha Sahasranamam -1000 names of Devi originated.

It is in Lalithambigai temple -Thirumeeyachur,Near Mayiladuthurai,TN

There is a Legend #story & it is related to this beautiful #sculpture of Kshetrapuraneswarar & Ambal Lalithambigai #Thread 👇

#Legend #story
It is believed that this is birth place of Kashyapa Maharishi’s sons, Arunan& Garudan. Arunan(charioteer of Surya)was physically handicapped.He was a Shiva devotee.Arunan wanted to visit Kailash to have Shiva Darshan,but Surya Dev denied permission.

So Arunan disguised as a girl & was on his way to Kailash.On the way Surya Dev saw this girl & outraged her modesty.Shiva was very angry with Suryan for misbehaviour & cursed him to get darkened. Whole world plunged into darkness.Surya Dev pleaded to Bhagwan Shiv to forgive him.

Shiva Bhagwan asked him to go to Thirumiyachur & worship him there. As advised, Surya Dev performed rigorous penance, placed murthi of Shiva& Parvathy on an elephant & took them to the clouds.Shiva in this temple is known as Meganathaswamy,Devi is known as Lalithambigai

Even after severe penance,Shiva does appear,so Surya Dev cries out in agony.Disturbed by his call, Parvathy protests.Siva pacifies her & offers relief to Surya Dev.The sculpture of Shiva pacifying Ambal shows her sullen from one angle &smiling from another.

#SatiSavitri #RealLifeExperiences #BharatDarshana

Bharat Darshana publishes a small monthly magazine which has some very interesting puranic anecdotes and snippets.

When I picked up this month's magazine, I was intrigued by a story which I want to share as below

1/

This is a real-life incident as narrated by Prof. Krishna Bihari Pandey titled "Sati Savitri"

Sati Savitri is a well known puranic figure from Srimad DeviBhagwatham and Mahabharatha as one of those who fought with Yama to save her husband.

2/

This story is a modern real-life experience which mimics the puranic account in it's own unique way.

The story occurs in 1975 with Prof and his wife in Delhi with professor working as a researcher in university. Prof's family is in Allahabad in a large joint family

3/

Once Prof gets to know that his mother is not keeping well. He goes to his native and brings his mother. With dedicated care of his wife, his mother recovers quite remarkably and regains full stamina and strength

Mother-in-law & Daughter-in-law go out for shopping frequently

4/

Life's going smooth until one day when they receive a telegram that Prof's father is not keeping well.

His mother is distressed about the situation and requests her son to take her to the native. Prof is a little angry due to frequent travels and turns it down

5/

So, you’re a writer and you’re worried about writing outside your immediate experiences and identities.

Here is the thread of practical advice for you.

EXAMINE YOUR MOTIVES. Why do you want to write this?

Are you trying to solve racism/sexism/colonialism with your work?

As writers we love stories about heroic writers whose work has changed the world. And as such we like to look to our own writing to solve societal problems.

And I understand this completely, not the least because I’ve felt the pull.

But if you’re looking to play saviour with your words, it is unlikely that you will do the marginalised people you are trying to save justice.

And I understand this very often comes from place of good intentions, but there is a reason that most of the moralising plays written by white abolitionists are deeply uncomfortable to read.

It is incredibly easy for works looking to play saviour to become patronising or traffic in simplistic stereotypes that ultimately hurt the people they are looking to rescue.

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.