I keep seeing people on here suggest that making fun of the neo-Nazis undermines an understanding of how dangerous they are. I disagree. I think ridiculing them is both good and necessary. A short thread:

Chennakeshava Temple, Somanathapura, Karnataka.

This temple, not to be confused with the Belur Chennakeshava temple, was built during the Hoysala period by a Hoysala general named Dandanayaka Somanatha. The temple dedicated to lord Vishnu was consecrated in 1258.

Dandanayaka Somanatha established a village named Somanathapura on the banks of river Kaveri. He sought the permission of King Narasimha III, to begin construction of a grand temple dedicated to Lord Vishnu that would also showcase the might of Hoysalas.(1)

The temple rests on a high star shaped platform (jagati) with 3 sanctums (garbha griha) making it a trikuta, set in a square matrix oriented along the east west and north south axes.(2)

The western sanctum is dedicated to Kesava, the northern sanctum to Janardhana and the southern sanctum to Venugopala, all are forms of lord Vishnu.(3)

The sanctums share a common community hall (sabha mandapa) with many pillars. Above each of these sanctums rise the 16 pointed star shaped tower called vimana or shikara.(4)

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.

MAHARAANI TARARANI: THE QUEEN OF MARATHAS

Rani Tarabai was the brave daughter-in-law of Chhatrapati Shivaji and one of the greatest medieval Monarchs India ever had.
She was born in 1675 to one of the bravest commander-in-chiefs of Shivaji's Army named Hambir Rao Mohite.

Tarabai was just 8yrs old when she was married to Shivaji's younger son, Rajaram. Mughals and Marathas were constantly at war with each other. Shivaji was crowned the ruler of the Independent Maratha Swarajya in 1674 which was established by him.

However,the great leader died in 1680&the Maratha Samrajya went into a complete&total chaos.Marathas saw some very tough times ahead. In 1689,when Raigad Fort fell to the Mughal Army of over 15000,Shivaji's first wife Saibai and his elder son Sambhaji were captured&put to death.

Sambhaji's wife and son Shahu were taken prisoners to the Mughal court. During the same battle, Shivaji's second son Rajaram(Tarabai's husband) , who was the heir to the throne now, managed to escape using a disguise. He made his way to the Gingee Fort in Tamil Nadu.

Mughal General Zulfikar Khan, however, followed them to Gingee laying siege to the Gingee Fort. From 1690-1698,This was the longest siege by a Mughal Army of any Fort which stands testimony to the military and diplomatic credentials of Rani Tarabai.

Here is the detailed information of about strategy,

Entry time : 9.30 - 10
Exit : Upto you

Strategy :
Sell weekly ATM CE & PE at almost equal price
For ex : Sell Nifty 17250 CE at 50 and Nifty 17250 PE at 48 so it will become short straddle

Buy monthly ATM or near ATM CE & PE at matching price (5-10 points diff should be fine) as hedge
For ex : Buy Nifty 17250 CE at 150 and Nifty 17300 PE at 155 so it will become long straddle.

Weekly Short straddle + Monthly Long straddle

Adjustment:

• If you feel slightly bullish/bearish then no adjustment needed
• If Nifty moves 50 up or down and sustain then just simply roll up or down half of qnty and keep rest of the quantity. If market goes up or down further then roll up or down rest.

• If Nifty moves one side or about to breach BEP then add equal amount of lot. This can balance tested side. For ex: If I bought 17300 CE 4 lot as hedge then add 4 lot so you will have only one side risk . Note: Remember to keep SL at cost price (only for additional lot bought)

Capital requirement:
2.2 L for 4 lot
Adjustment requires additional capital upto 1L

Note : High risk high reward strategy, please don’t execute until you fully understand. Kindly do paper trading or backtest.
RR : 1:1
POP : 45-55%