Understanding how Trezor devices work is the wrong way to feel confident about what you're doing when you're managing your crypto. You end up with a head full of lists of steps to follow without understanding anything about why things work they way they do. Instead, you should be reading up on various Bitcoin standards that have emerged over the years. Once you understand these, how and why Trezors work the way they do becomes completely obvious. And how and why Ledgers work the way they do becomes obvious. And any new hardware wallets that come out in the future will be obvious. You'll be empowered rather than feeling like you're at the device's mercy.
It'll also become obvious why you should adopt certain approaches to security (like never revealing your seed for any reason ever). You aren't just following Trezor's guidelines -- you're understanding fundamentally how vulnerabilities can be exploited. Your security approach needs to transcend the Trezor. The device performs one aspect of your security extremely well, but the rest is up to you. Trezor the company can't save you from yourself, as valiantly as they've tried.
These are the BIPs (Bitcoin Improvement Proposals) which are most relevant to understanding modern wallets. Don't be intimidated by every technical detail, just try to understand in broad strokes what they aim to accomplish. Google each of these and spend time on them:
BIP-32: Hierarchical Deterministic Wallets
The "hierarchical" part doesn't come into play much with basic wallets, but it's important to understand the deterministic part. This is what spares us from getting attached to individual Bitcoin addresses. A wallet should be cycling through new addresses all the time so that addresses are never reused. Addresses that have been spent from have a security vulnerability. You should think of addresses as completely disposable. With this feature a chain of new addresses are deterministically derived. You can keep adding addresses within a wallet forever. And whether that wallet is stored by a Trezor, a Ledger, software like Electrum, or some future technology that adopts this standard, the same chain of addresses is what you'll always see.
The wallet uses a "derivation path" to decide how to deterministically derive addresses. It's good to at least be aware that different wallets may use different derivation paths as their defaults.
This "linking" of addresses is invisible to the blockchain. No one looking at the b
... keep reading on reddit β‘Digraphs in vim can be entered with <c-k> in insert mode. I never bothered looking into it since I assumed it would be complicated. Turns out it's designed so elegantly that most of it is common sense.
Imagine you want to insert the β character. You type <c-k> then ->.
Or you want the Γ¦ character. Just type <c-k> then ae.
If you're stuck with a particular digraph, just look for it in :h digraphs.
Hello guys. So i really hope im in the right sub here. I have this idea of designing a language game. Its about studying in a playful but effective manner as i found that duolingo etc. Couldnt keep me engaged in studying more than 2 weeks. I would like to hear from you what would keep you playing a language game or which functions you are missing in current apps. Also are there things you hate? Im doing this survey to kinda get a feeling of what is needed to make a sucessful studying game that keeps people entertained. Like just throw in anything that comes to your mind. No matter how surreal or senseless it may seem. I am open to any feedback from you guys ;) Thanks a lot already!
Hey,
So I'm feeling a little stuck. My dysphoria has gotten worse recently. (seems to get worse the further I am in transition - but also less) Especially about some masculine facial features. Now, thing is, there's a pretty good chance I pass - or will pass.
It's just that I can't help but see my old guy's face at times. I'm sure there's plenty of girls with features like these, but they don't have the history I do. I'd love to just be able to forget about ever being a guy, and just seeing these features as girls features. Having a hard time with that though.
My story is kind of unique as far as I know, since Iβve always had long hair, even as a kid. I was pretty much a girl back then, with the mannerisms and all, itβs just that everyone called me a boy and by a boyβs name, so thatβs what I believed. And to be honest, I had a penis between my legs (still do :/) so I believed it myself as well. Didnβt stop me from feeling like a girl and just being myself as much as I dared.
I did fully go through male puberty (Just turned 21), not knowing transition was possible in this way. All I knew was the messed up image of trans people with fake tits, lots of surgery, makeup and a fake voice. That wasnβt me. Turns out HRT is a thing...
Anyway, to this day I see male puberty as some horror I went through. Totally ruining that girl I was. Maybe even traumatic. I give you this background info, as it might have to do with the problems I have with my masculine features.
I'm coming here for advice or to hear about similar experiences.
Is it possible to rewire my brain to see these features as female? Obviously dysphoria is real, but as I've said before, it's different from for instance a penis. I'm talking about features that naturally occur in girls, be it pretty rare. So in my head, I should and should not feel dysphoric about these features.
What do you think, does it make sense for me to keep feeling dysphoric about these features, or do you think I should be able to see it in a different light?
I guess you could also wonder, is it dysphoria about masculine features (in that case, wouldn't surgery be the only solution, if hormones don't do enough?), or is it something else?
To put it another way, if I hadn't gone through male puberty I would've looked very different. Does it make sense to feel dysphoric about the (facial)features that are definitely way more masculine than they would be if I had gone through female puberty - even if they don't stop me fr
... keep reading on reddit β‘I have often heard that one of the reasons that deep learning methods are preferred over other machine learning methods is because algorithms like deep neural networks do not require the analyst to spend as much time "selecting variables for the model" (i.e. feature engineering, feature selection, feature extraction).
Apparently, deep neural networks are able to "intelligently" (in the background) consider and create many different combinations of "features" that are "conducive" to the modelling problem.
Naturally, I was curious about this claim. Intuitively, I understand that through the hidden layers, weights and activation functions, neural networks are making "new combinations" of features that are passed forward and are ultimately used for making predictions on new data.
Beyond this, I am not sure what to think - are there any references/papers that have documented (either theoretically or empirically) that deep neural networks are able to largely "take care" of the task of "feature engineering" compared to traditional algorithms like regression models, decision trees and random forest? Have any experiments been done where many irrelevant features were added to a dataset, and a deep neural network was able to "ignore" them?
For example, me and my friend did a whole playthrough of dying light without realizing that constantly upgrading your melee weapons and not killing every zombie you see is essential in this game. Or back in the days playing RE4 only to figure out in last mission that Leon has some sick ass melee combos. Just curious, delete if not related, ty
I want to perform a classification task using the features extracted from encoder .My question is since reconstruction using autoencoder and classification are two very different task, Can feature extracted using a pretrained encoder of a U-net be used for classification tasks?
εε½, we're startup company working on Chinese learning app, and curious to find out more about your experience of using mobile applications for studying Chinese language.
If you would like to participate in our research, you can access the survey in here - it's completely anonymous and we do not track any information regarding your device or internet protocol location info (and it only takes around 5 to 7 mins).
We are sincerely appreciated everyone who will participate in advance, it's really crucial for us to understand your experience and feedback!
>P.S. if you would like to participate in user testing for our learning app, please fill out the last question in the survey and we will send you the test build link directly
Baidu Brain, a Chinese core AI technology engine, announces the release of PaddlePaddle 2.0. PaddlePaddle (PArallel Distributed Deep LEarning)) is an open-sourced AI platform released by Baidu Brain in 2016 to apply deep learning(DL) to many products at Baidu, such as NLP (Natural Language Processing), translation, and image processing.
PaddlePaddleβs latest version has features like dynamic (computational) graphs, a new API system, distributed training for trillion-parameter models, and better hardware support.
API Documentation: https://www.paddlepaddle.org.cn/documentation/docs/en/api/index_en.html
GitHub: https://github.com/PaddlePaddle
Just wondering if anyone knows of a good resource to help explain some of the new stuff on tibia. Like the whole rewards thing and what seems to be built in tasks for hunting? I never got too into the tasks back in the day to begin with. Always been a kind of lazy ass player, but now I love learning and want to PG a bit.
I mean the features kind of seem pretty straightforward but I want to make sure I understand how to best take advantage of everything available to me. I know I could search endlessly on YouTube but if anyone has a certain YouTuber or video in mind to help thatβd be great!
Other mods: I'm using EUI and have vox populi installed, but disabled
-
No pop up notifications for meeting city states
-
City state peace is blocked after stealing a worker
-
White screens when interacting with several of the new civ leaders
If these are bugs, does anybody know what's causing them and how to resolve them?
edit: just scrolled down on the front page and read I need to revert to an older EUI. I'll do that and delete this if my issues are resolved
edit 2: I reverted to an older version of EUI that was mentioned in a thread on the front page and am still running into the same issues
Hello
I am a student and I am working on emotion analysis with deep learning. My supervisor asked me to extract semantic features from the text ( convert raw data into useful semantic features ) before using deep learning. But I am confused when I read research about text classification with deep learning. DL does not need feature extraction only using different types of word embedding to convert data, I need to clarify this. Is it possible to extract features before applying Deep Learning.? Is there any research that can help me with that? Any suggestions tools or techniques to extract semantic features from the text.
A new version of umap-learn, the reference implementation for Uniform Manifold Approximation and Projection (UMAP), a dimension reduction algorithm, has been released, and brings a number of significant new features.
A new class, ParametricUMAP, allows users to train a neural network to optimize the embedding, resulting in a direct neural net based mapping from source data to embedding. This allows for extremely fast inference (embedding of new data points), orders of magnitude faster than standard UMAP. It also provides facilities for an inverse transform, mapping from the embedding space to the original data space that is both far faster and more robust that that provided by standard UMAP. Since network architectures can be user provided this also allows for CNN and RNN based UMAP embeddings for images or sequences.
Equally importantly ParametricUMAP supports Semi-supervised learning, with a loss function over both the UMAP cost function, and supervised training loss for labelled samples. This is particularly useful when you have a lot of data, but very few labels, presuming that UMAP does a reasonable job separating data with respect to your classes. For example Semi-supervised ParametricUMAP on MNIST, using only 4 labelled samples per category (for 40 labelled samples out of 60,000), can achieve 97.85% accuracy (as opposed to a mere 81% for a baseline standard classifier network). This can be a very powerful approach for cases where you have a lot of data but generating labels is very expensive.
Finally it is possible to create autoencoders that make use of the UMAP loss, using the topological structure of the data to ideally boost autoencoder performance. Given the flexibility of ParametricUMAP there are undoubtedly more interesting uses and tricks to be played with.
See the documentation on ParametricUMAP here: https://umap-learn.readthedocs.io/en/latest/parametric_umap.html There are also notebooks providing examples of different uses for ParametricUMAP: https://github.com/lmcinnes/umap/tree/master/notebooks/Parametric_UMAP Parametric UMAP was contributed by Tim Sainburg, and his paper on it is here: https://arxiv.org/pdf/2009.12981.pdf
Another new class, AlignedUMAP, allows users to train sequences of embeddings with relations between them that attempts to align the embeddings with respect to the relations. This allows, for example, embeddings with different hyperparameters to be kept aligned with one another for easier comparison (stochastic
... keep reading on reddit β‘Hi. I write long-form articles about machine learning and AI (they're not necessarily the same thing), as well as topics around big data and AI-related infrastructure and general research.
I mostly produce SEO-focused B2B material for AI-related companies, but also write 'futurism' pieces about AI. My portfolio is here.
I'm looking for one more regular long-term client, and am open to doing a paid test-piece to see if we're a good fit.
I charge 20Β’ p/w (USD). However, there is a floor to prices that are based on this rate, since it is often necessary to research just as much for 800 words as for 3000 - and research is 90% of the work.
Most of my work is bylined. I charge more for ghost-writing.
Hired by the day for bylined work, I charge $90 USD + costs of sending payment. I am mostly paid via my PayPal business account, but can also accept bank transfers and Wise. The first article is invoiced immediately, and thereafter invoices are monthly, and payment expected in 30 days. My clients are mostly based in the US, and I am based in Europe. My W8BENE is current.
Prior to starting work, we will need to exchange a casual freelance contract, to comply with accounting laws where I live. I can supply boilerplate, or use yours. I cannot skip this step, as I have no way of paying tax on my income without a casual contract for each client.
Can anyone help me to find a good reading or youtube tutorial on how can we use Graphs with multiple edge feature as a deep reinforcement learning environment?
I have often heard that one of the reasons that deep learning methods are preferred over other machine learning methods is because algorithms like deep neural networks do not require the analyst to spend as much time "selecting variables for the model" (i.e. feature engineering, feature selection, feature extraction).
Apparently, deep neural networks are able to "intelligently" (in the background) consider and create many different combinations of "features" that are "conducive" to the modelling problem.
Naturally, I was curious about this claim. Intuitively, I understand that through the hidden layers, weights and activation functions, neural networks are making "new combinations" of features that are passed forward and are ultimately used for making predictions on new data.
Beyond this, I am not sure what to think - are there any references/papers that have documented (either theoretically or empirically) that deep neural networks are able to largely "take care" of the task of "feature engineering" compared to traditional algorithms like regression models, decision trees and random forest? Have any experiments been done where many irrelevant features were added to a dataset, and a deep neural network was able to "ignore" them?
Hey,
So I'm feeling a little stuck. My dysphoria has gotten worse recently. (seems to get worse the further I am in transition - but also less) Especially about some masculine facial features. Now, thing is, there's a pretty good chance I pass - or will pass.
It's just that I can't help but see my old guy's face at times. I'm sure there's plenty of girls with features like these, but they don't have the history I do. I'd love to just be able to forget about ever being a guy, and just seeing these features as girls features. Having a hard time with that though.
My story is kind of unique as far as I know, since Iβve always had long hair, even as a kid. I was pretty much a girl back then, with the mannerisms and all, itβs just that everyone called me a boy and by a boyβs name, so thatβs what I believed. And to be honest, I had a penis between my legs (still do :/) so I believed it myself as well. Didnβt stop me from feeling like a girl and just being myself as much as I dared. I did fully go through male puberty (Just turned 21), not knowing transition was possible in this way. All I knew was the messed up image of trans people with fake tits, lots of surgery, makeup and a fake voice. That wasnβt me. Turns out HRT is a thing...Anyway, to this day I see male puberty as some horror I went through. Totally ruining that girl I was. Maybe even traumatic.I give you this background info, as it might have to do with the problems I have with my masculine features.
I'm coming here for advice or to hear about similar experiences.
Is it possible to rewire my brain to see these features as female? Obviously dysphoria is real, but as I've said before, it's different from for instance a penis. I'm talking about features that naturally occur in girls, be it pretty rare. So in my head, I should and should not feel dysphoric about these features.
What do you think, does it make sense for me to keep feeling dysphoric about these features, or do you think I should be able to see it in a different light?
I guess you could also wonder, is it dysphoria about masculine features (in that case, wouldn't surgery be the only solution, if hormones don't do enough?), or is it something else?
To put it another way, if I hadn't gone through male puberty I would've looked very different. Does it make sense to feel dysphoric about the (facial)features that are definitely way more masculine than they would be if I had gone through female puberty - even if they don't stop me from passi
... keep reading on reddit β‘Hey,
So I'm feeling a little stuck. My dysphoria has gotten worse recently. (seems to get worse the further I am in transition - but also less) Especially about some masculine facial features. Now, thing is, there's a pretty good chance I pass - or will pass.
It's just that I can't help but see my old guy's face at times. I'm sure there's plenty of girls with features like these, but they don't have the history I do. I'd love to just be able to forget about ever being a guy, and just seeing these features as girls features. Having a hard time with that though.
My story is kind of unique as far as I know, since Iβve always had long hair, even as a kid. I was pretty much a girl back then, with the mannerisms and all, itβs just that everyone called me a boy and by a boyβs name, so thatβs what I believed. And to be honest, I had a penis between my legs (still do :/) so I believed it myself as well. Didnβt stop me from feeling like a girl and just being myself as much as I dared. I did fully go through male puberty (Just turned 21), not knowing transition was possible in this way. All I knew was the messed up image of trans people with fake tits, lots of surgery, makeup and a fake voice. That wasnβt me. Turns out HRT is a thing...Anyway, to this day I see male puberty as some horror I went through. Totally ruining that girl I was. Maybe even traumatic.I give you this background info, as it might have to do with the problems I have with my masculine features.
I'm coming here for advice or to hear about similar experiences.
Is it possible to rewire my brain to see these features as female? Obviously dysphoria is real, but as I've said before, it's different from for instance a penis. I'm talking about features that naturally occur in girls, be it pretty rare. So in my head, I should and should not feel dysphoric about these features.
What do you think, does it make sense for me to keep feeling dysphoric about these features, or do you think I should be able to see it in a different light?
I guess you could also wonder, is it dysphoria about masculine features (in that case, wouldn't surgery be the only solution, if hormones don't do enough?), or is it something else?
To put it another way, if I hadn't gone through male puberty I would've looked very different. Does it make sense to feel dysphoric about the (facial)features that are definitely way more masculine than they would be if I had gone through female puberty - even if they don't stop me from passi
... keep reading on reddit β‘ε¨, working on a new Chinese learning app, and curious to find out more about your experience of using mobile applications for studying Chinese language.
If you would like to participate in a small research, you can access the survey in here - it's completely anonymous and it only takes around 5 to 7 mins.
Sincerely appreciated everyone who will participate in advance, it's really crucial to understand your experience and feedback!
>P.S. if you would like to participate in user testing for this new learning app, please fill out the last question in the survey and I will send you the test build link directly
Hey,
So I'm feeling a little stuck. My dysphoria has gotten worse recently. (seems to get worse the further I am in transition - but also less) Especially about some masculine facial features. Now, thing is, there's a pretty good chance I pass - or will pass.
It's just that I can't help but see my old guy's face at times. I'm sure there's plenty of girls with features like these, but they don't have the history I do. I'd love to just be able to forget about ever being a guy, and just seeing these features as girls features. Having a hard time with that though.
My story is kind of unique as far as I know, since Iβve always had long hair, even as a kid. I was pretty much a girl back then, with the mannerisms and all, itβs just that everyone called me a boy and by a boyβs name, so thatβs what I believed. And to be honest, I had a penis between my legs (still do :/) so I believed it myself as well. Didnβt stop me from feeling like a girl and just being myself as much as I dared. I did fully go through male puberty (Just turned 21), not knowing transition was possible in this way. All I knew was the messed up image of trans people with fake tits, lots of surgery, makeup and a fake voice. That wasnβt me. Turns out HRT is a thing...
Anyway, to this day I see male puberty as some horror I went through. Totally ruining that girl I was. Maybe even traumatic.
I give you this background info, as it might have to do with the problems I have with my masculine features.
I'm coming here for advice or to hear about similar experiences.
Is it possible to rewire my brain to see these features as female? Obviously dysphoria is real, but as I've said before, it's different from for instance a penis. I'm talking about features that naturally occur in girls, be it pretty rare. So in my head, I should and should not feel dysphoric about these features.
What do you think, does it make sense for me to keep feeling dysphoric about these features, or do you think I should be able to see it in a different light?
I guess you could also wonder, is it dysphoria about masculine features (in that case, wouldn't surgery be the only solution, if hormones don't do enough?), or is it something else?
To put it another way, if I hadn't gone through male puberty I would've looked very different. Does it make sense to feel dysphoric about the (facial)features that are definitely way more masculine than they would be if I had gone through female puberty - even if they don't stop me fr
... keep reading on reddit β‘Hey,
So I'm feeling a little stuck. My dysphoria has gotten worse recently. (seems to get worse the further I am in transition - but also less) Especially about some masculine facial features. Now, thing is, there's a pretty good chance I pass - or will pass.
It's just that I can't help but see my old guy's face at times. I'm sure there's plenty of girls with features like these, but they don't have the history I do. I'd love to just be able to forget about ever being a guy, and just seeing these features as girls features. Having a hard time with that though.
My story is kind of unique as far as I know, since Iβve always had long hair, even as a kid. I was pretty much a girl back then, with the mannerisms and all, itβs just that everyone called me a boy and by a boyβs name, so thatβs what I believed. And to be honest, I had a penis between my legs (still do :/) so I believed it myself as well. Didnβt stop me from feeling like a girl and just being myself as much as I dared. I did fully go through male puberty (Just turned 21), not knowing transition was possible in this way. All I knew was the messed up image of trans people with fake tits, lots of surgery, makeup and a fake voice. That wasnβt me. Turns out HRT is a thing...Anyway, to this day I see male puberty as some horror I went through. Totally ruining that girl I was. Maybe even traumatic.I give you this background info, as it might have to do with the problems I have with my masculine features.
I'm coming here for advice or to hear about similar experiences.
Is it possible to rewire my brain to see these features as female? Obviously dysphoria is real, but as I've said before, it's different from for instance a penis. I'm talking about features that naturally occur in girls, be it pretty rare. So in my head, I should and should not feel dysphoric about these features.
What do you think, does it make sense for me to keep feeling dysphoric about these features, or do you think I should be able to see it in a different light?
I guess you could also wonder, is it dysphoria about masculine features (in that case, wouldn't surgery be the only solution, if hormones don't do enough?), or is it something else?
To put it another way, if I hadn't gone through male puberty I would've looked very different. Does it make sense to feel dysphoric about the (facial)features that are definitely way more masculine than they would be if I had gone through female puberty - even if they don't stop me from passi
... keep reading on reddit β‘