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a python implementation of Parametric t-SNE in Keras
I am a novice and likely be asking a trivial question. mlp_param_tsne.py
def x2p_job(data):
requires data but
result = pool.map(x2p_job, generator()) in def x2p(X) is not giving data.
For mnist which and what format should I give to run this program?
Thanks for the help.
RuntimeWarning: invalid value encountered in true_divide
when testing your code with CIFAR-10.
Although it's just a warning I think it has some impact on the final 2d representation which appears to be quite messy compared to the one obtained by the non-parametric model.
I am a novice and likely be asking a trivial question. mlp_param_tsne.py
def x2p_job(data):
requires data but
result = pool.map(x2p_job, generator()) in def x2p(X) is not giving data.
For mnist which and what format should I give to run this program?
Thanks for the help.
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