https://t.co/GazHSgrI7e

SHAKTA DHARMA AND THEIR ACHARYAS

Śhākta or Shakti or Devi pooja is not a new upasana. It is being carried out right from the time of Vedic period. Puran's tell us that Rishi Vashishth would worship Tara devi. Parshuram ji worshipped Tripura devi,

Agastya learned the secrets of Shri Vidya from Vishnu ji in Hayagriva avtaar. Bhagwan Ram, Laxman and Krishna too learned the tantrik vidya. Even Rig Ved 7.103.5 Sayan Bhasya also mentions about Śhākta/शाक्त(शाक्तस्येव शक्तिमतः).

Then we find that in the Harrappan excavations many figurines depicting Shakti were found. So in that age too, which was supposedly an urban city shakti was being worshipped. So naturally this tradition would be prevalent in rural areas too.

It is wrong to say that shakti puja originated from Bengal although it was popular there. Matsyendranath received this vidya from Maheshwari herself in Kamrup. We know that Shakti pooja is practised all over India.

Not much is known about the Śhākta saints in other parts of India in the middle ages.

Adi Shankaracharya wrote Pramanech saar named book on tantra and Anand lahri book on Devi strotras. Then there were Acharya Shankar, Bhaskar Rai, Laxman, Deshikendra, Raghav Bhatt, Krishnand,

A relationship begins to get stiff when excessive patterns begin to form.

Too many patterns leads to a boring, predictable, logical lifestyle.

Get the emotions involved.

Do something spontaneous out of the blue moon & flip the script.

'What's wrong with the patterns?'

Nothing is wrong with patterns.

However, there is a problem when all you have are patterns.

It's boring.

'Can you explain why?'

Sure 👇

The thing with relationships is that it's meant to be an emotional experience.

It's very difficult to logically explain love, right?

'Right.'

Well this is where you want to steer the ship the right way.

1. Too emotional is bad.

2. Too logical is bad.

Let me break it down.

1. Too emotional

If a relationship is completely ruled by emotions, then it's too volatile.

You will never reach productivity if you are aimlessly only following each others emotions.

This lifestyle tarnishes any structure for the couple.

'So why do people do it?'

Because it's fun.

You may ruled by this stage in the honeymoon phase.

Normal.

You'll be so spontaneous that it almost becomes a lifestyle.

But it's hard to level up your life when you're too spontaneous.

Avoid.

ANCIENT BHARAT WAS CALLED VISHWAGURU, AND IT REALLY DESERVED IT.

India had a well developed education system centuries before the westerners arrived and called us uncivilized. Education was always given a great importance in Indian civilisation since times immemorial.

Ancient India had the Gurukulas and Ashramas as the epicentres of the knowledge and enlightenment. Bigger Gurukulas served as the centres of higher education called universities. Besides these universities, temples also emerged as the major learning centres.

Studying the Holy Scriptures, character building, personality development, responsibilities towards self,family and society,discipline and preservation of the ancient culture and heritage were the key embodiments of education.

This kind of education system made ancient India, a centre of knowledge all over the world. Many foreign students came to India for education and India was called the 'Vishwaguru'.
Takshshila and Nalanda were the two prominent universities of ancient India.

But were these only Universities of ancient India?The answer is 'No'.Let's learn about these gems of our education system that flourished across ancient India & be proud.

NALANDA UNIVERSITY
This was the oldest university of ancient India.Situated in Nalanda distt. of Bihar...

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.