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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.

SRI THIRUNARAYANA PERUMAL, MELKOTE (KAR)

Known as Dakshin Badri, Thiru Narayanapuram is one of the four famous Swayambu Kshetrams, the other three being Srirangam, Kanchipuram and Tirupati.
The presiding diety is Cheluva Narayana Swamy/ Selva Pillai/ Rama Priyan.

Once, Sri Rama gave his aradhana murthi of Sri Ranganatha, to Raja Vibhishana on his request. So he was left without a murthi for his daily pujas. Brahma is said to have provided the murti of Selva Pillai to Rama who later passed this on to his sons, Lava and Kusa.

When Kusa’s daughter married a Yadava prince, this murthi moved to the lunar dynasty from solar.

It is said that the utsav murthi got the name Selva Pillai due to Sri Ramanuja.
Once, a Sultan took away this murthi and Sri Ramanuja went in its search to the Sultan’s palace.

A thread of images from a Japanese illustrated history of America from 1861.

Here is George Washington (with bow and arrow) pictured alongside the Goddess of America. 1/

Here is Christopher Columbus (seated at center) reporting his discovery of America to Queen Isabella of Spain.

So far, kinda normal, but wait for it.... 2/

Now it's the American Revolution. Here is George Washington defending his wife "Carol" from a British official named "Asura" (same characters as the Buddhist deity). 3/

And here is Washington's "second-in-command" John Adams battling an enormous snake. 4/

Here is Washington and his wife "Carol" meeting an extremely youthful Benjamin Franklin, who has an impressive squat. 5/

महाभारत की कहानी कौन नहीं जानता।लेकिन क्या आपको पता है कि महाभारत के ज्यादातर पात्र किसी न किसी श्राप में फंसे थे।अगर ये श्राप न होते तो कदाचित महाभारत की कहानी कुछ और होती।हिन्दु पौराणिक ग्रंथों में विभिन्न श्रापों का वर्णन मिलता है व हर श्राप के पीछे कोई कहानी अवश्य होती है।

आइए आज जानते हैं महाभारत कथा में वर्णित कुछ श्रापों के बारे में।

1) राजा पाण्डु को ऋषि किन्दम का श्राप

एकबार महाराज पाण्डु शिकार खेलने वन गए।झाडियों के पीछे कुछ हिल रहा था। मृग है सोचकर राजा ने बाण चलाया जो जाकर ऋषि किन्दम और उनकी पत्नी को लगा।वे दोनो रति-क्रीड़ा में लिप्त थे।

जब राजा ने उन्हें देखा तो बहुत दुखी हुए कि ये मुझसे क्या पाप हो गया।बहुत क्षमा याचना के बाद भी किन्दम ऋषि ने पाण्डु को श्राप दे दिया कि जब भी वो किसी स्त्री को काम भावना से स्पर्श करेंगे उसी क्षण उनकी मृत्यु हो जाएगी।पश्चाताप करने, वे सिंहासन पे अन्धे राजा धृतराष्ट्र को बैठाकर...

..स्वयं अपनी रानियों कुंती व माद्री के साथ वन चले गए।पांडवों का जन्म भी कुंती को ऋषि दुर्वासा द्वारा दिए गए मंत्र से हुआ था जिसमे किसी भी देव का स्मरण कर उस देव से कुंती,पुत्र प्राप्त कर सकती थी।एक बार माद्री पे मोहित हो जब पांडु ने उसे स्पर्श किया,उसी क्षण पांडु की मृत्यु होगयी।

2) उर्वशी का अर्जुन को श्राप

महाभारत युद्ध से पहले जब अर्जुन दिव्यास्त्र प्राप्त करने स्वर्ग गए तो वहां उर्वशी नाम की अप्सरा उन पर मोहित हो गयी। अर्जुन ने जब उन्हें अपनी माता के समान बताया तो यह सुनकर उर्वशी क्रोधित हो गयी और अर्जुन को श्राप दे डाला कि तुम नपुंसक की भांति...

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.