https://t.co/15abL7Q0yj

RANI NAIKI DEVI AND THE BATTLE OF KASAHRADA

Mohammad Ghori, the young Ghurid Prince conquered Ghaznavids in Afghanistan in the year 1173 CE. He conducted some successful raids into the Indian territory, which even Mahmud Ghazni & the Persians couldn't do.

First&foremost,Ghori invaded states of Multan &Uch in India.After this he turned to southern states of Gujarat &Rajputana.Everybody knows this about Ghori,but what most pple r unaware of is the defeat he suffered at hands of Chalukyan Queen Naiki Devi in 1178 Battle of Kasahrada.

When he marched southwards, his first target was the prosperous fortified town of Anhilwara Patan.
It was the capital of Chalukyas(also known as Solankis of Gujarat) which was established by Vanraj of Chapotkata Dynasty in 8th century.

American historian Tertius Chandler states that it was the 10th largest city in the world at that time. The history of Chalukyas has been written by many historians, but the valour of the Great Queen Naiki Devi remains unsung.

Born to the Kadamba King Paramardin of Goa,Naiki Devi was well trained in sword fighting, horse riding, strategy & every other subject of Statesmanship. She was married to King Ajaypala of Gujarat who sat on throne in 1171CE. Unfortunately,the King died within 4 yrs of his rule.

THE LESSER KNOWN MAHARANA OF MEWAR:RANA KUMBHA
Kumbalgarh Fort is one of most spectacular sites of India,atop a hill abt 3600ft above sea lvl in the https://t.co/LkjmzzBhE2's second largest wall is surrounding it.A fort wall second only to Great wall of China,still not so famous.

This longest wall of India stretches to almost 36Km and encompasses a few hills, many step wells and over 360 temples and palaces. Birth place of the Great Maharana Pratap, this fort is named after another Great Maharana of Mewar, who is not given his due in the History.

Builder of many architectural marvels like the Kumbhalgarh Fort, an erudite scholar, a patron of arts, music, culture & a great warrior was the Great Maharana Kumbha. Yet we don't know much about him. Let's get to know him a little.

Maharana Kumbha was the undefeated King of Mewar from 1433-1468CE.He never lost any battles &kept Mewar out of the reach of Islamic Invaders till the time he was alive. Born on Makar Sakranti to Maharana Mokal & Saubhagya Devi, Rana Kumbha was only 13 when he ascended the throne.

His father was killed by his own relatives in a political conspiracy. He was a powerful King about 8ft tall &charismatic personality,a hardcore Hindu Rajput who could shed his life for Hindu honour without thinking twice.He was an ardent skillful warrior who never lost a battle.

#Thread Two divine forms of Khatu Shyam ji...

On the day of Amavasya, devotees get the darshan of Shyam Baba in Shyam varan (black color). In ordinary days, the form of Baba is saffron. The reason for this is a custom. The real head of Shyam Baba which had appeared from Shyam Kund is of Shyam varan.

Every day Shyam Baba's grand Shringar is done by Pujaris. The main part of Shyam Baba's shringar is Tilak. This Shringar is done by the members of Nij Mandir sevaks. The sevaks of the Nij Mandir do sandalwood tilak to Baba everyday in the auspicious time.

This Divine Tilak is applied from the forehead to the nose. When Baba is given a bath by sevaks, this tilak comes off. Then in the auspicious time, the sevaks again apply tilak to Baba.

There is no auspicious time on the Amavasya. Because of this, tilak is not done on that day. That's why devotees have darshan of Shyam Baba on the Amavasya only in the actual real form (Shyam Swaroop). Baba's tilak is done on Amavasya only on the day of Deepawali.

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.