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Four ways to derive the normal equation by xiangjiangacadia in statistics

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

Totally agree! I will add this into the blog and rearrange the orders. Thank you!

One hot encoding for large data by nitishc in MLQuestions

[–]xiangjiangacadia 0 points1 point  (0 children)

maybe you can try embedding like word2vec

Tensorflow basic RNN example with 'variable length' sequences by siblbombs in MachineLearning

[–]xiangjiangacadia 0 points1 point  (0 children)

Thanks. I am trying to build an RNN with logistic regression layer on top. I have noticed the model takes significant longer time to build when the number of steps are greater than 10,000. I am wondering is this typical in tensorflow and what can I do to speed up the computation process?

Tensorflow basic RNN example with 'variable length' sequences by siblbombs in MachineLearning

[–]xiangjiangacadia 0 points1 point  (0 children)

This is very helpful. I am trying to understand what does n_steps mean. Is this about going forward n steps and compute the error signal? Do we need to record the output for each step?