moist_buckets
moist_buckets t1_j0zq3wt wrote
Reply to comment by vprokopev in [D] Why are we stuck with Python for something that require so much speed and parallelism (neural networks)? by vprokopev
Because development time is fast and far more people have experience with Python than C++.
moist_buckets t1_j0m9hnb wrote
You should use a Bayesian network. Monte Carlo dropout is an easy place to start. Then you can get a measure of the uncertainty of your predictions.
moist_buckets t1_iw8b39a wrote
Reply to comment by HallowedAntiquity in [D] When was the last time you wrote a custom neural net? by cautioushedonist
No not yet haha. I’m still working on it so it’ll be probably 6 months until it’s actually published.
moist_buckets t1_iw7sjwh wrote
Reply to comment by DigThatData in [D] When was the last time you wrote a custom neural net? by cautioushedonist
I’m in the process of building pre-trained models to apply to different astronomical surveys. We almost exclusively train on simulated data.
moist_buckets t1_iw7s24x wrote
Reply to comment by Kurohagane in [D] When was the last time you wrote a custom neural net? by cautioushedonist
I mainly research quasars (supermassive black holes at the center of galaxies)
moist_buckets t1_iw7ryet wrote
Reply to comment by cautioushedonist in [D] When was the last time you wrote a custom neural net? by cautioushedonist
My latest project is modeling irregularly sampled multivariate time series using neural differential equations. We want to both reconstruct the time series and also do parameter estimation. The architecture is a variational auto encoder where the decoder is the neural differential equation.
moist_buckets t1_iw7rdde wrote
Reply to comment by wavyje in [D] When was the last time you wrote a custom neural net? by cautioushedonist
I’m doing a PhD in it. That would be the most straightforward way. I’m not sure how feasible it is without a PhD.
moist_buckets t1_iw5g8j3 wrote
I’ve never used a pre trained network for anything but my projects are applied to astrophysics which has some very different requirements than NLP or image classification
moist_buckets t1_iumgkeu wrote
I’ve found tensor flow to work on the GPU if you install everything correctly. PyTorch didn’t work on the GPU for my project because some functions aren’t supported yet. It does work fine with the cpu though.
moist_buckets t1_j16hdbs wrote
Reply to [D] Tensorflow vs Pytorch for LSTM stock bot by Careful-Temporary388
Tensorflow with keras is the easiest way to get started. There are many tutorials on YouTube or online doing exactly what you mention. You could start by just following one.