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Show HN: Neural network that impersonates writers

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21–30 of 33 posts

Re: Show HN: Neural network that impersonates writers

#21

I'd be interested to know if this could be turned into a tool that lets you know how well your writing (or coding) matches the "house style". (Mostly for technical documentation, requirements specs etc...) I'd be even more interested if it could be turned into a sublime text plugin that highlights words / phrases that deviate most strongly from the house style.

Good idea. I guess that was my main goal really, learning the structure of some text. The vocabulary generator was a pretty recent add in which is why it is quite in-accurate.

Re: Show HN: Neural network that impersonates writers

#22

this doesn't look like a neural net to me. from NeuralNetwork.py from sklearn.neighbors import KNeighborsClassifier # Create a sperate neural network for each identifier for index in range(0, len(NaturalLanguageObject._Identifiers)): nn = KNeighborsClassifier() self._Networks.append(nn)

So then it seems like the author of the code doesn't understand that "NN" means "Nearest Neighbors" and not "Neural Network"? He mentions that he used sklearn's Neural Network libraries in his blog post, but sklearn doesn't have any aside from RBM.

I was confused with the difference between an SVM and a neural network. Easy mistake I guess. The whole goal of this project was for educational purposes, so im still happy with the outcome.

Re: Show HN: Neural network that impersonates writers

#25

Earlier quoted context omitted.

So then it seems like the author of the code doesn't understand that "NN" means "Nearest Neighbors" and not "Neural Network"? He mentions that he used sklearn's Neural Network libraries in his blog post, but sklearn doesn't have any aside from RBM.

I was confused with the difference between an SVM and a neural network. Easy mistake I guess. The whole goal of this project was for educational purposes, so im still happy with the outcome.

[deleted]

Re: Show HN: Neural network that impersonates writers

#26
> I decided to use scikit's machine learning libraries. [...] The writer I create uses multiple SVM engines. One large neural network for the sentence structuring and multiple small networks for the algorithm which selects words from a vocabulary.

This person has no idea what they're talking about. sklearn has no neural network code whatsoever.

EDIT: this feels like a testament to sklearn's greatness, honestly.

Re: Show HN: Neural network that impersonates writers

#27

Earlier quoted context omitted.

So then it seems like the author of the code doesn't understand that "NN" means "Nearest Neighbors" and not "Neural Network"? He mentions that he used sklearn's Neural Network libraries in his blog post, but sklearn doesn't have any aside from RBM.

I was confused with the difference between an SVM and a neural network. Easy mistake I guess. The whole goal of this project was for educational purposes, so im still happy with the outcome.

Sorry to beat this issue to death, but this is not an easy mistake at all, even given only a cursory understanding of the field.

Re: Show HN: Neural network that impersonates writers

#28

Earlier quoted context omitted.

So then it seems like the author of the code doesn't understand that "NN" means "Nearest Neighbors" and not "Neural Network"? He mentions that he used sklearn's Neural Network libraries in his blog post, but sklearn doesn't have any aside from RBM.

I was confused with the difference between an SVM and a neural network. Easy mistake I guess. The whole goal of this project was for educational purposes, so im still happy with the outcome.

"Easy mistake I guess"

What the hell.

Re: Show HN: Neural network that impersonates writers

#29

Earlier quoted context omitted.

So then it seems like the author of the code doesn't understand that "NN" means "Nearest Neighbors" and not "Neural Network"? He mentions that he used sklearn's Neural Network libraries in his blog post, but sklearn doesn't have any aside from RBM.

I was confused with the difference between an SVM and a neural network. Easy mistake I guess. The whole goal of this project was for educational purposes, so im still happy with the outcome.

if you want to learn neural nets check out Karpathy's class (cs231n.github.io) and do the assignments. making a github repo and HN post about using neural networks is false self-advertising and illegitimatizes those of us who know what we are talking about.

Re: Show HN: Neural network that impersonates writers

#30

Earlier quoted context omitted.

So then it seems like the author of the code doesn't understand that "NN" means "Nearest Neighbors" and not "Neural Network"? He mentions that he used sklearn's Neural Network libraries in his blog post, but sklearn doesn't have any aside from RBM.

I was confused with the difference between an SVM and a neural network. Easy mistake I guess. The whole goal of this project was for educational purposes, so im still happy with the outcome.

OMG, how embarrassing for OP. This is what scares me about technical blogging. Messing up unknowingly in an area I'm not experienced in and getting scathing critiques from my fellow hackers. Keep your chin up OP and next time remember to do your homework. +1 for the effort anyways.
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