PSYCHOPATHS INHERENTLY LIE!!! #SCAMDEMIC

Ameda Temple
Ernakulam, Kerala 🚩
#keralatemples

Ameda Ksetram is located in the banks of Vembanad Lake. Temple is very unique and Powerful Sarpa Kavu.
Parashurama did Prathishta here. Vilakku which was lighted by Parasurama is still seen inside the temple.

The oil from this lamp is given to bhakthas for recovering from illness.

Sthala puranam says that, Once, when Parashurama was travelling through Kerala, he reached this place. As it was evening, he stepped into the Lake for Sandhya Vandanam
At that Sapthamathrukkal 👇

(Brahmini, maheshwari, kowmari, vaishnavi, varahi, indirani and chamundi) were travelling there on a tortoise through the water. The tortoise was unable to move, because the Water had made its way for Parashurama. The place where the tortoise became Still came to be known as 👇

Aama Ni Nidayam' ( Aama means tortoise) and later become ‘Ameda’. Parashurama came to know about the journey of Sapthamathrukkal. Thus, he did Prathishta for the Sapthamathrukkal here.
7 forms of Aadi Parashakthi are Sapthamathrukkal. Veerabhadra and Ganesha have Sannidhi here.

The main Garbhagriham in the temple is the Sapthamathrukkal. There are Sannidhi to Nagas, Nagayakshi and Vishnu too. Sarparadhana or snake worship is done here. Naga Panchami is famous here. Those who have Naga Dosham come here and get relieved of their Doshas.
🕉🙏🕉

SRI MOOKAMBIKA DEVI, KOLLUR (KAR)

There was an Asura, Kaumasura, who was doing penance to please Shiva and get a boon. To prevent him from asking for a boon, Devi Saraswati made him dumb (hence called Mookasur)
Later, Adi Parashakti slayed him and came to be called Mookambika.

It is said that Adi Shankaracharya had a vision in which Devi agreed to follow him provided he did not look back. He kept walking and was assured of her presence due to the sound of anklets. When he reached here in Kollur, he turned back as the sound of anklets had stopped.

So Devi stayed here and merged with the lingam. The place came to be called Mookambika Kshetram.
The linga has integrated on it’s left side MahaKali, Maha Lakshmi and Maha Saraswathi and on the right side- Brahma, Vishnu and Shiva.

A swarna rekha (gold line) divides this linga into left and right portion. Adi Shakthi in this Udhbhavlinga form appears only here.
Devi sits in padmasana and has 4 hands.
Adi Shankaracharya installed the Sri Chakra in front of Devi and also composed the Soundarya Lahiri here.

Surendra Ananth @surendraananth, you violated my conditional consent. I assented to unprotected intimate relations with you on the STRICT condition that you tell me if you have relations with anyone else. You failed to do so, and I became ill as a direct consequence.

You refused to reveal your own STI results to me, but claimed to others they were negative and alleged I had multiple other partners, slut-shaming me. You gaslit me saying you had told me about your other partners.

You called up @justice_sisters and @SistersinIslam to tell them I was crazy, jilted. You rebuffed attempts to organise a community mediation so we could address matters. You said I was crazy for speaking to your boss and father in an attempt to keep other women safe.

You have a PATTERN OF BEHAVIOUR of misogyny, harassment and sheer disrespect for women. This was sent to a friend of mine who has never expressed interest in you and has a partner.

You think women are playthings, notches on the bedpost. You, @surendraananth, are no human rights advocate.

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.