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h5py

5.0
(3)

The h5py package is a Pythonic interface to the HDF5 binary data format.

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h5py Reviews

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h5py review by Morse S.
Morse S.
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"Save weights of neural network created in keras"

What do you like best?

It itself is the best library because it allows me to save the weights of trained neural network.Suppose you have a model with 1 lac dataset and you train it which may approximately take a day depending on the capacity of the system and now again you require that model,so what to do.Use h5py and save the weights which can be loaded nextime you want to use it.

What do you dislike?

Not actually because it is a required library for us.

Recommendations to others considering the product

Recommendations to others is that if you use keras or tensor flow in python to create neural network models and want something to save your weights for next time predictions then h5py is the library for your requirement

What business problems are you solving with the product? What benefits have you realized?

Using it to save the trained neural network weights which can be ported to other system else used again on the same system when required.I loved h5py because saving weights of the model is made easy by it.

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h5py review by Mike J.
Mike J.
Validated Reviewer
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"Support library for keras"

What do you like best?

h5py is a very good library because whenever you create a neural network or any deep network model using keras and then train it, you need some way to store the weights to avoid future again training of the model and useless usage of resources.So here h5py can be used to store the weights of the model in .h5py format and retrieve weights whenever you retrain model with other data or predict using the model.

What do you dislike?

It is a good support library for keras so nothing to dislike about it.It is really a good supporting library.

Recommendations to others considering the product

Recommended for saving the weights of the trained models so that you just have to use previous architectures and the weights from the save file to reuse the model.It comes preinstalled with keras so you just have to search on how to save the model and you are ready to do it.

What business problems are you solving with the product? What benefits have you realized?

h5py has only one usage i.e. of saving weights of the trained model but that only one use is very important for us because it eliminates the need for re training the model and reusing the pre trained model.This is why I am using h5py.

What Python Package solution do you use?

Thanks for letting us know!
h5py review by Justin F.
Justin F.
Validated Reviewer
Review Source
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"Python Support Library For Saving Trained Models"

What do you like best?

h5py is a support library which can be used with keras or tensor flow to save the weights of the trained machine learning model.It is a easy tool to save the weights of the model and then load the model directly when required for testing or deploying to predict the results.It gave me freedom to train my model on high end gpu on another pc and then save the model over there and transfer it to my pc or backend server for testing.It reduces ample amount of time.

What do you dislike?

It really just stores the weights and not the model architecture.If it also starts storing the architecture then it will be unbeatable.

Recommendations to others considering the product

A truly recommended library for saving time and increasing productivity.Easily helps you to save the trained machine learning or deep neural net models in .h5py extension and can be reloaded to reuse the trained model through h5py when required and wherever required.

What business problems are you solving with the product? What benefits have you realized?

I am using h5py to save the trained models which are trained either on cloud with high performance graphics or on offline machine with high end gpu to save time and give results much faster.It has made my work easy by reducing my time to train model again and again.I can just save it and reload it when required.

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