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Alathiyur Hanuman Temple
Malappuram, Kerala 🚩
#keralatemples

One of the Powerful Anjaneya Temples in Kerala. Hanuman temple is adjacent to Shri Ramar Sannidhi. Here Hanuman's head is tilted towards the left to hear Shri Rama's words. Shri Rama is entrusting Hanuman👇

Task of locating Mata Sita in Lanka.

Prathishta of Hanuman is done by Sage Vasishta. Eventhough this is Shri Ram Temple, importance is given to Hanuman
Shri Rama shares with Hanuman the Abhignana Vaakhyam, the words that would enable him to gain the confidence of Mata Seetha.

Hanuman stands leaning a little towards the left, showing how he hear Shri Rama's words and also assuring him Your Wish is my Command.
The Vigraham of Hanuman gives us the Strength, Confidence and Bhakthi.
There is a place marked here to show Hanuman’s leap to Lanka over sea.

Devotees run and leap over the stone for better health.Aval Naivedhyam is famous here. Those children who have nightmares are told to pray Alathiyur Hanuman. Mantra 👇

Alathiyur Hanumane
Pedi Swampnam kanarudhe
Pedi Swapnam Kandalo
Val Kondu Thattiyunarthename
🙏🕉🙏

Bharat: Advancement of earth’s earliest civilization

Glorious Vedic Architecture and Temple

Architecture in India was an extremely rich form of expression and highly developed science, with a deep heritage of spirituality in it. #FreeHinduTemple

The centre of all architectural development was the temple and temple or Mandir was the earthly home of God, and like the launching pad for the devotee’s consciousness to soar toward the Divine and the spiritual world.

The murti or deity of the Divine would be placed in the temple sanctum, around which all temple activity would revolve.

Such buildings were often elaborately decorated with stone, wood, plaster, etc. and carved or cut to depict the stories from the Puranas or other sacred texts

Temples were always the centre of religious, social and educational activities, practically more so in
ancient times than today.

During a span of more than two thousand years, various dynasties were known for constructing glorious temples,

some of which include the Mauryan, Ashoka, Gupta, Satavahana, Chedi, Chandella, Chalukya, Solanki, Pallava, Shola, Hoysala, Vijayanagar, and others.

Many of these temples remain beautiful architectural wonders today.

🧵EMA + VWAP STRATEGY

Every trader has a go-to strategy that works best for them. My trading is all about keeping it simple stupid and revolves around two indicators - Exponential moving averages and vwap.

Here's the strategy that I utilize on nearly 80% of my trades.

👇

What are Exponential Moving Averages?

EMA's are a type of moving average that places a greater weight on more recent data points.

8EMA = Exponential Moving Averages of the last 8 candle closing prices.

EMA's adjust with respect to chart time frame.

What is VWAP?

Volume Weighted Average Price - A key intraday indicator in my trading that offers the true average price based on price & volume.

Calculation: (Price x # of shares traded) / total shares traded

EMA's I use

- 8
- 21
- 50

While I do utilize the 50EMA, the 8 & 21 EMA are most important for this strategy. Some people use the 9 and 20 which are essentially the same thing. REMEMBER: EMA'S adjust with respect to time frames.

A+ Set Up Criteria - (What I look for)

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.