Austen Lamacraft

Thanks for this great tutorial! I'm just beginning to work through it. One typo I just came across is that in [Testing Netlify Functions Locally](https://www.aleksandrhovhannisyan.com/blog/static-site-comments-github-issues/#testing-netlify-functions-locally) the flag should be `--querystring`...

Did you abandon this way of rendering math (it looks like KaTeX now)?

A couple more thoughts. 1. I see the problem with mixing cores is that we don't know whether the middle index of a 3d core is a row or column...

I'm implementing a TT based classifier similar to [Stoudenmire and Schwab's](http://papers.nips.cc/paper/6211-supervised-learning-with-tensor-networks.pdf) paper and also [yours](https://arxiv.org/abs/1605.03795). At the moment I am implementing f^l(x) = W^l Phi(x) in the following way 1....

Thanks for this! Two comments: 1. It seems you've used the batch structure for the labels. Does that mean I've lost the possibility to use it for batches? 2. (More...

There was an issue on the tensorflow repo about the merits of allowing genuine matrix vector multiplication. https://github.com/tensorflow/tensorflow/issues/9055

I added matrix vector multiplication to by fork [here](https://github.com/Bihaqo/t3f/compare/develop...AustenLamacraft:matmul).

The `too many dimensions` error appears when you take `t3f.full`

I think the first option is the correct one. After all, you get the same behaviour for a numpy array: `x[0,:]` is an array, while `x[0,0]` is an element.

I'm a React newbie, but instead of using `scrollRef` I ended up passing in a `ref` ``` state.highlights.find(highlight => highlight.id === id) const scrollToHighlightFromHash = () => { const highlight...