Gematria decode ... very powerful and a bit moving too, at the end ... https://t.co/D6s7zEev80

Starting my 2nd thread on Sringeri Parampara. This will cover the Jagadgurus after Sri Vidyaranya to Sri Shivabhinava Nrisimha Bharati.

It is really very tough to match the brilliance and achievements of Vidyaranya. After whom came 15 - Chandrashekara Bharati [1386-1389].

The next Acharya was Nrisimha Bharati [1389-1408]. Harihara raya found a town for this Acharya - Narasimhapuram. Acharya helped the king by guiding him in political affairs. He also initiated the kind with mahamantras for spiritual development.

Subsequent Acharyas were
15-Puroshottama Bharati [1408 - 1448]
16-Shankara Bharati[1448 - 1455]
17-Chandrasekhara Bharati II [1455 - 1464]
18- Nrisimha Bharati II [1464 - 1479]
19-Puroshottama Bharati II [1479 - 1517]

20-Ramachandra Bharati [1517 - 1560]. Sadashiva Raya was emporer of Vijayanagara during this time.
21-Nrisimha Bharati III [1560 - 1573]
22-Nrisimha Bharati IV [1573 - 1576]
23-Nrisimha Bharati V [1576 - 1600]

24-Abhinava Nrisimha Bharati [1600-1623]. When he visited Malahanikareswara temple for first time he noticed there was no Vinayaka there so he took piece of turmeric and drew outline of Ganesha on a pillar and offered puja.

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.

ADI SHANKAR AND SRI TOTAKACHARYA

Adi Shankaracharya chose his disciple Totakacharya to be the first head of the Math at Joshimath.
The Narsingh Mandir (Mandir of Sri Narasimha) in Joshimath is one of the 108 Divyadesams and also the home of Badrinath during the winter months.

Totakacharya was earlier a boy named ‘Giri’ and a devout disciple of Adi Shankaracharya. Unlike others, he was not known to be an expert in Shastras but his dedication to his Guru was complete and he used to listen to His discourses with utmost faith and devotion.
@SriRamya21

One morning as Adi Shankara and his disciples were getting ready for the discourse, Giri was delayed. The other disciples urged their Guru to commence the lesson on Bramhsutra Bhashya telling him that Giri would anyway not be able to comprehend its deep meaning.
@RajeAiyer

Adi Shankar responded “नायमात्मा प्रवचनेन लभ्यो न मेधया” – Atman cannot be attained through discourses or mere intellect.
He,then, awakened the supreme knowledge in Giri.
Giri spontaneously composed: श्री शङ्करदेशिकाष्टकम् extolling his Guru’s grace.

Adi Shankaracharya granted sanyasa to Giri and gave him the name Totakacharya.
The story of how Giri became Totakacharya is a great example of the importance of faith and devotion in your Guru and not the mere knowledge of the Shastras.
@DetheEsha

1/ Throughout my startup career, I’ve seen many founders have an aversion to sales. This is a mistake that can kill your startup.

2/ Sales is often viewed as either a saving grace or proof that the product isn’t good enough (because it should sell itself). Neither are ever true. Some common mistakes that result in...

3/ Mistake 1: Hire a sales rep before reaching product/market fit to get your initial batch of customers. This is a mistake because founders need to work through their MVP with early adopters to truly understand what it is they’re selling.

4/ Mistake 2: Reach product/market fit, need to scale, and rely entirely on self-serve. For enterprise products that require big commitments and internal shifts, almost no product is self-explanatory enough to sell itself.

5/ Mistake 3: Make a first sales hire who isn’t scrappy enough to help mold the sales process from scratch. Some salespeople are amazing at their jobs, but not cut out to establish the processes that others end up following. This skillset is what @rdedatta calls a “sales ninja”.