BC DIVINE

Saved by @SUDRED12

$\U0001f1ee\U0001f1f3 Vartika Awasthi \U0001f1ee\U0001f1f3$

🇮🇳 Vartika Awasthi 🇮🇳
@_VartikaIND 2 years, 11 months ago 465 views

Save to PDF Share See On Twitter

राम नाम कलि कामतरु सकल सुमंगल कंद सुमिरत करतल सिद्धि सब पग पग परमानंद

More from Divine

$Indian Temple & Architecture\u2122$

Indian Temple & Archit...
@temple_of_India

THREAD
#AdiShankaracharya Swami Jayanti, 2022.
If today I'm identified as a true Sanatani Lad, that's only because of my Adi Guru, Sri Shankaracharya Maharaj, the establisher of Sarvapuratan Sanatan Dharma and Sanskritization.
😍🙏🏼🚩

⬇️

The Jayanti of Adi Shankaracharya falls on the Panchami Tithi during the Shukla Paksha in the month of Baishakha. He was born in Kalady of Kerala state in 788 CE. He has played a major role in the revival of Sanatan Dharma and Hindu Philosophy.
⬇️

He was born to parents who were ardent worshippers of Bhagvan Shiva, Adi Shankaracharya was a prominent Vedic scholar and a teacher who was known for his work on the development of Hindu Concept all over the world. His journey in Sanyas began with his mother's crocodile
⬇️

incident in which she believed that Adi Shankara was not an ordinary person. He was popular for his work which presents the harmonising reading of Vedas, Upanishads, Puranas & Sastras. Adi Shankaracharya also liberated knowledge of the self at its core by synthesising the
⬇️

Advaita Vedanta teachings of his time. He has established the Char dham (North- Badrinath Dham, East - Shree Jagannath Dham, West -Dwaraka Dham, South -Rameswaram Dham)
The Char Dhams are a set of four pilgrimage sites in India and visiting these sites help achieve the moksha.

Aravindh Parthasarathy
@Aravindh_partha

Happy Star Birthday 💐@Shivakruparam

Sri Lakshmi Narashimar will definitely give you more strength to do more dharmic kainkariyam🙏

*Seeking everyone’s asirvatham for her 🙏

Advertisement

$Anu Satheesh \U0001f1ee\U0001f1f3$

Anu Satheesh 🇮🇳...
@AnuSatheesh5

When You feel upset, Light a Diya &
Tell him Everything

Raghu
@IndiaTales7

Maa Durga - The Mother of the Universe.

Bharti
@Bharatijha_

"तू ही नर तू ही नारायण :जय गोविंदा जय गोपाला"

You May Also Like

$\u2728Anshika Sharma$

✨Anshika Sharma
@Anshi_________

Low-risk, High-return stocks are what we look for relentlessly

But many of them we know but ignore
some of them don't grab financial headlines

Here are 10 low-risk, high return stocks (that we ignore):

What I mean by “high-return”?

These stocks have OUTPERFORMED the market:

💹Chart with upwards trend Since IPO
💹Chart with upwards trend Over the last 5 Years or since IPO

These are all long-term winners that will keep on winning

What do We Mean by “low-risk”?

A combination of:

❣️Great management
❣️Broad moat
❣️Financially strong
❣️High ROCE
❣️Low Disruption/Dilution/Volatility
❣️Consistent Organic Growth
❣️Assorted Customers/Suppliers
❣️Low debt

1-#CDSL

A depository is a big business and will grow continuously, Its a sustainable business
cause "Market hai toh CDSL bhi hai or rahega"

2- #Dixon

High Management Efficiency with a high ROE of 19.30%
Healthy long-term growth as Net Sales has grown by an annual rate of more than 30%
High Institutional Holdings

Anu Satheesh
@AnuSatheesh5

Guruvayur Sri Krishna & Coconut with Horns.
#Krishnaleela
#Bhakthi
🕉
We’ve all grown up listening to stories of Shri Krishna. This one is a famous story of Shri Krishna in Guruvayur Temple, also called Dakshina Dwaraka.

There lived a villager who planted coconut saplings and had promised that he would offer the 'first coconut' from each of his coconut trees to "Guruvayurappan". When the trees started to yield coconuts, he collected the first coconut from all the trees in a sack 👇

and set forth to Guruvayur.

On the way he was stopped by a robber who asked all the items in the sack. The villager told the robber that the coconuts in the sack belonged to Guruvayurappan and so he was unable to hand it over.
@SriramKannan77 @Jayalko1

The robber with anger asked the villager "Is Guruvaurappan's coconut any different? Does it have horns ?".
Saying so the robber pulled the sack forcefully out of the villager's hand, and coconuts came out..👇

To their astonishment each and every coconut in the sack had horns! Even today, the coconut with horns are displayed in the temple for devotees to see.

Below Picture is not original, as we cannot take photos inside temple.
Hare Krishna
Guruvayurappa
🕉🕉🕉🕉🕉
Shubham

Advertisement

meilong
@meilong15

一个北大毕业的殡葬工自述武汉封城期间的经历，凄惨。这应该才是武汉的真实情景，跟很多人的叙述是吻合的。

https://t.co/QYTO1SYedG

Jaya_Upadhyaya
@Jayalko1

BANASHANKARI AMMA, NEAR BADAMI (KAR)
#bharatmandir #navratri2021

Originally built by Chalukyas in 7th century. Devi Banashankari was their family deity. This image of Banashankari Amma was installed by Jagadekamalla I in 630 AD.

Later renovations were done by Marathas.

Once, a demon Durgamasur was troubling the people of this area. Answering the prayers of Devas, Ma Parvati emerged from the yajna fire as Banashankari and killed Durgamasur.
This area has rich forests of coconut, betel nut and other trees.
@GunduHuDuGa

It is said that during a severe famine, Devi provided vegetables and fruits to the people of this area.
Hence, she is also worshipped here as Shakambhari.
In the annual festival called Banashankari jatre, a Rath yatra takes place and Devi moves around the city in the chariot.

Roger Grosse
@RogerGrosse

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.