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1. There are more people added on the list of arrests and executions of famous people but no further intel is available at this time.

ARRESTS and EXECUTIONS OF FAMOUS PEOPLE 2020 UPDATED
Explanation of the latest military tribunal arrests and executions of famous people in 2020.

2. The tribunals are arresting these people in plain clothes. We saw the Obama’s arrest, although we didn’t know it was an arrest at the time. The arrest was done nonchalantly so as to not get noticed by the public.
All arrests of these famous people were done this way.

3. If the person is convicted of child sex trafficking, crimes against humanity or treason, they will be executed.
If the person arrested has evidence on someone else to help their prosecution, or is willing to help Trump, & they want to cooperate, they may be allowed to do so.

4. A sentence of execution down to life in prison may be accepted if their evidence is worth anything.
When a plea deal is done, the defendant must present evidence they have to make their sentence lighter. This information is given to the prosecution, defense, and to the judge.

5. If evidence is accepted, they are presented the plea deal. They will have to make a guilty plea to the crime with a video confession & written statement. That is how all plea deals work.

All famous people arrested were either treasonous or involved in satanic worship rituals.

Do you know?

The Golden Shine on the artificial jewellery of modern times is a gift by Nagarjuna.

Now,u might be wondering,who is Nagarjuna?

Nagarjuna was the name of an ancient Indian scholar&scientist whose name is associated with the fields of Alchemy,Chemistry& Metallurgy.

He conducted a number of alchemic and Metallurgical experiments directed towards transforming base elements into Gold.
According to Eduard Sachau's Alberuni's India, Nagarjuna was termed as a Metallurgist who was born 100 yrs before Alberuni's time, who was born in 973 CE.

According to some records Nagarjuna was born in 9th century CE near Somnath,Gujarat and according to some Tibetan & Chinese sources he was born in Vidarbha,Maharashtra from where he later migrated to Deccan region.

Edward Schau quotes in his book,'They have a science similar to Alchemy and Nagarjuna is famous for this science which they call as 'Rasayana'.

Nagarjuna's book 'Rasaratnakara' is one of the earliest documented texts on Alchemy,Chemistry & Metallurgy in Sanskrit.Nagarjuna successfully discovered through his experiments the alchemy of transmutation of base metals into Gold.This was not real gold but a gold like substance.

The BATTLE OF PAVAN KHIND (13 July 1660)

300 MARATHAS against 10000+ ADIL SHAHI TROOPS

A Sparta style last man stand at a mountain pass which ensured Shivaji Maharaj's safety.

Valour, loyalty and sacrifice!

Baji Prabhu Deshpande was one of the most able lieutenants of Shivaji. He sacrificed his life defending Shivaji in a heroic last stand known as the "Battle of Pavan Khind" in which his force was hugely outnumbered.(1)

In this battle he became a martyr, but managed to halt the enemy forces for several hours, which secured Shivaji’s safety and victory on another front. Without this heroic last stand Shivaji’s glorious career may have been cut short.(2)

Baji Prabhu was senior to Shivaji. In the beginning he opposed Shivaji being from a rival Maratha clan, but realised that Shivaji stood for national resurgence. Henceforth he became a friend and loyal supporter of Shivaji.(3)

In 1660, Shivaji was trapped in the fort of Panhala, under siege and vastly outnumbered by an Adilshahi army led by general Siddhi Jauhar.(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.