Here's an overview of key adoption metrics for deep learning frameworks over 2020: downloads, developer surveys, job posts, scientific publications, Colab usage, Kaggle notebooks usage, GitHub data.
TensorFlow/Keras = #1 deep learning solution.
![](https://pbs.twimg.com/media/Eq-5q5XU0AATotg.jpg)
![](https://pbs.twimg.com/media/Eq-6EYzUwAEnXfI.jpg)
In a way, this metric reflects usage in production.
![](https://pbs.twimg.com/media/Eq-6XVqVoAMJn-m.jpg)
![](https://pbs.twimg.com/media/Eq-6mJLVgAAvlk4.jpg)
![](https://pbs.twimg.com/media/Eq-6uS_VgAINwNC.jpg)
![](https://pbs.twimg.com/media/Eq-6-ZHVQAMEz-O.jpg)
![](https://pbs.twimg.com/media/Eq-7JzEVEAEo6QI.jpg)
More from Internet
There's an assumption here that this problem is fixed bc it was already hacked.
It's not.
Let us know when you've found the supply chain hack that's already there
— SleeplessOrphan (@sleeplessorphan) February 20, 2021
We have ppl freezing and dying in TX right now because some ppl who thought they were really smart never spoke to anyone with actual experience with energy systems in extreme cold climates.
Texans are waiting for a solution to a preventable problem.
Farmers are saying that now, not during a crisis, they have to wait for a JD tech to arrive to help them.
The assumption that bc SOME farmers said screw this and used hacked firmware to get around that obstacle doesn't mean that all farmers are doing that.
If all farmers were using hacked firmware we wouldn't be discussing this right now would we?
Of course no one has pointed out that another issue here is that no one at John Deere has figured out they don't have enough staff to quickly and reliably SOLVE problems.
The locked firmware is just one of many issues here.
By not giving people a fast solution they're causing this and other issues.
So what I'm saying is somebody at John Deere needs to examine all of this.
You May Also Like
Decoded his way of analysis/logics for everyone to easily understand.
Have covered:
1. Analysis of volatility, how to foresee/signs.
2. Workbook
3. When to sell options
4. Diff category of days
5. How movement of option prices tell us what will happen
1. Keeps following volatility super closely.
Makes 7-8 different strategies to give him a sense of what's going on.
Whichever gives highest profit he trades in.
I am quite different from your style. I follow the market's volatility very closely. I have mock positions in 7-8 different strategies which allows me to stay connected. Whichever gives best profit is usually the one i trade in.
— Sarang Sood (@SarangSood) August 13, 2019
2. Theta falls when market moves.
Falls where market is headed towards not on our original position.
Anilji most of the time these days Theta only falls when market moves. So the Theta actually falls where market has moved to, not where our position was in the first place. By shifting we can come close to capturing the Theta fall but not always.
— Sarang Sood (@SarangSood) June 24, 2019
3. If you're an options seller then sell only when volatility is dropping, there is a high probability of you making the right trade and getting profit as a result
He believes in a market operator, if market mover sells volatility Sarang Sir joins him.
This week has been great so far. The main aim is to be in the right side of the volatility, rest the market will reward.
— Sarang Sood (@SarangSood) July 3, 2019
4. Theta decay vs Fall in vega
Sell when Vega is falling rather than for theta decay. You won't be trapped and higher probability of making profit.
There is a difference between theta decay & fall in vega. Decay is certain but there is no guaranteed profit as delta moves can increase cost. Fall in vega on the other hand is backed by a powerful force that sells options and gives handsome returns. Our job is to identify them.
— Sarang Sood (@SarangSood) February 12, 2020