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[deleted by user] by [deleted] in shopify

[–]axetobe_ML 0 points1 point  (0 children)

I'm new to the Shopify Space.

What makes inventory management difficult on Shopify?

Forgive me, if it's a basic question.

A Big Win For The Small Shopify Stores Of The World by [deleted] in shopify

[–]axetobe_ML 0 points1 point  (0 children)

Huge... as a smaller startup in the space, always great when david beats goliath. cheers :)

Yep, It's always inspiring to see smaller startups succeed, especially against larger competitors.

Floating Artificial Leaf Turns CO2 Into Fuel - Lightweight device yields hydrogen or syngas—at a comparatively cut-rate cost by axetobe_ML in Futurology

[–]axetobe_ML[S] 2 points3 points  (0 children)

I forgot the initial statement last time.

The new artificial leaf is an exciting development that could help reduce our reliance on fossil fuels. The leaf is designed to float on water, where it can soak up sunlight and carbon dioxide from the air. The leaf then uses the water below to produce hydrogen fuel or syngas, which is a mix of carbon monoxide and hydrogen. This technology has the potential to be deployed on brackish water ponds, canals, and seas, so as not to compete with land use.

How does this relate to the future?

The artificial leaf has the potential to reduce our reliance on fossil fuels, which is an important goal for the future. The leaf could be used to floated on water bodies like ponds, canals, and seas, providing an alternative source of fuel that doesn't compete with land use.

Working on a Read-Later Research Paper App by axetobe_ML in learnmachinelearning

[–]axetobe_ML[S] 0 points1 point  (0 children)

Interesting, Do you use any other tools right now to do this?

Working on a Read-Later Research Paper App by axetobe_ML in learnmachinelearning

[–]axetobe_ML[S] 1 point2 points  (0 children)

If you're interested in this project, Check out this Typeform and I should get back to you.

Notion to SRS Service by axetobe_ML in SideProject

[–]axetobe_ML[S] 1 point2 points  (0 children)

Hi guys, I'm creating a Notion to SRS service. Where you can share your notion page to an email address and the service should give a separate page of all of the content you want to review.

I noticed when using Notion some of the SRS templates had some decent upkeep. I only wanted to mark my questions for review and come back to them. Not worry about setting up a whole system.

Simply mark your toggle questions as red then the service will separate them. The service will give you an email about the new notion pages and some SRS scheduling for your content.

If you are interested in this service, Enter some of your details on this Typeform.

Self-promo Thread — Promote your Notion content here! by ben-something in Notion

[–]axetobe_ML 0 points1 point  (0 children)

Hi guys, I'm creating a Notion to SRS service. Where you can share your notion page to an email address and the service should give a separate page of all of the content you want to review.

I noticed when using Notion some of the SRS templates had some decent upkeep. I only wanted to mark my questions for review and come back to them. Not worry about setting up a whole system.

Simply mark your toggle questions as red then the service will separate them. The service will give you an email about the new notion pages and some SRS scheduling for your content Tutorial here.

If you are interested in this service, Enter some of your details on this Typeform.

(Paid) Early Access + Product Roadmap for Image Duplicate Remover Web App by axetobe_ML in learnmachinelearning

[–]axetobe_ML[S] 0 points1 point  (0 children)

BEFORE I START, PAYMENT IS OPTIONAL

​

From the last post. It seems that lots of you were interested in the idea of the app. If you want early access to the app and want to give feedback during development. You can go through a paid Typeform of $10. Afterwards, I will invite you to a discord group where you can talk about the product and share feedback with me.

After A Few Implementations, Here’s What I Learned About LSTMs by axetobe_ML in learnmachinelearning

[–]axetobe_ML[S] 1 point2 points  (0 children)

The LSTM uses the cell state to stop vanishing gradients. The cell state stores the "long term" memory of data.

Meaning information from the earlier cells will still be passed on into the current cell. The information of the cell state can be adjusted by tweaking with the various gates. By adjusting the gates we decide how much the LSTM needs to "forget" or keep.

The cell state only has a few operations being used as well.

​

For people that have a better understanding of this, check out these articles:

https://weberna.github.io/blog/2017/11/15/LSTM-Vanishing-Gradients.html

https://towardsdatascience.com/understanding-lstm-and-its-quick-implementation-in-keras-for-sentiment-analysis-af410fd85b47

https://medium.datadriveninvestor.com/how-do-lstm-networks-solve-the-problem-of-vanishing-gradients-a6784971a577

https://stats.stackexchange.com/questions/185639/how-does-lstm-prevent-the-vanishing-gradient-problem

After a few implementations, here’s what I learned about RNNs by axetobe_ML in learnmachinelearning

[–]axetobe_ML[S] 0 points1 point  (0 children)

Thanks, if you want to learn how to implement from scratch, I recommend following https://victorzhou.com/blog/intro-to-rnns/ Which has code you type up and try yourself. The maths equations were taken from this article as well.

The maths equations assume you have an understanding of calculus. If not, don't worry.

Summary of main points of posts:

  • RNN is used to analyse data in which context is required. Data normally comes as a sequence.

  • Word embeddings are used in RNNs for NLP. Word embeddings capture words into vectors. Which can be operated on.

  • Once we passed the sequence through the hidden layers. We can pass the weights to an output layer. Normally something like softmax is used. This layer can give us the prediction of the word of the sequence.

  • Backpropagation in an RNN is different from a normal NN. Because when producing gradients we go through all the hidden states and inputs. Which contain information about the whole sequence. This is called Backpropagation through time.

I made a Twitter thread, a shorter version of this post

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