Scikit-Learn Version 1.0

Re:Scikit-Learn Version 1.0 by FlyingSaucer on Tuesday September 14, 2021 @07:52AM (#28523294)

I have used the MLP classifier[1] before. It's very simple to use (like most of sklearn's models). Worked well for standard and reasonably small classification model, but lacks some features for it to be a flexible way of using NNs:

- No saving checkpoints (can be crucial for large models who need alot of compute and time)

- No way to assign different activation functions to different layers

- No complex nodes like LSTM, GRU - No way to implement complex architectures like transformers, encoders etc

I also do not know if its even possible to use CUDA or any GPU with it.

[1] : https://scikit-learn.org/stable/modules/generated/sklearn.ne...

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Re:Scikit-Learn Version 1.0 by kuu on Tuesday September 14, 2021 @08:15AM (#28523525)

I would say the same as you. As long as you only need a simple model, yes, the MLP is good enough, but forget about making any DeepLearning stuff.

And AFAIK, there isn't GPU support, CPU performance is poor compared to GPU execution.

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