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Welcome to Fuel’s documentation! — Fuel 0.2.0 documentation

Getting your data in Fuel. Contributing a dataset to Fuel. Welcome to Fuel’s documentation! Welcome to Fuel’s documentation! Fuel is a data pipeline framework which provides your machine learning models with the data they need. It is planned to be used by both the Blocks. Fuel allows you to easily read different types of data (NumPy binary files, CSV files, HDF5 files, text files) using a single interface which is based on Python’s iterator types. Also, don’t hesitate to file bug reports and featur...

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Welcome to Fuel’s documentation! — Fuel 0.2.0 documentation | fuel.readthedocs.io Reviews

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Getting your data in Fuel. Contributing a dataset to Fuel. Welcome to Fuel’s documentation! Welcome to Fuel’s documentation! Fuel is a data pipeline framework which provides your machine learning models with the data they need. It is planned to be used by both the Blocks. Fuel allows you to easily read different types of data (NumPy binary files, CSV files, HDF5 files, text files) using a single interface which is based on Python’s iterator types. Also, don’t hesitate to file bug reports and featur...

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5 built in datasets

6 extending fuel

7 parallelizing data processing

8 api reference

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Welcome to Fuel’s documentation! — Fuel 0.2.0 documentation | fuel.readthedocs.io Reviews

https://fuel.readthedocs.io

Getting your data in Fuel. Contributing a dataset to Fuel. Welcome to Fuel’s documentation! Welcome to Fuel’s documentation! Fuel is a data pipeline framework which provides your machine learning models with the data they need. It is planned to be used by both the Blocks. Fuel allows you to easily read different types of data (NumPy binary files, CSV files, HDF5 files, text files) using a single interface which is based on Python’s iterator types. Also, don’t hesitate to file bug reports and featur...

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fuel.readthedocs.io

1

Installation — Fuel 0.2.0 documentation

http://fuel.readthedocs.io/en/latest/setup.html

Getting your data in Fuel. Contributing a dataset to Fuel. The easiest way to install Fuel is using the Python package manager. Fuel isn’t listed yet on the Python Package Index (PyPI), so you will have to grab it directly from GitHub. Pip install git git:/ github.com/mila-udem/fuel.git. This will give you the cutting-edge development version. The latest stable release is in the. Branch and can be installed as follows. Pip install git git:/ github.com/mila-udem/fuel.git@stable. For supporting iterator se...

2

Parallelizing data processing — Fuel 0.2.0 documentation

http://fuel.readthedocs.io/en/latest/server.html

Getting your data in Fuel. Contributing a dataset to Fuel. Here’s a scenario that is commonly encountered in practice: a big model is trained on a large dataset that doesn’t fit in memory (e.g. a deep convolutional neural network trained on ImageNet) using a GPU to accelerate training. In that case, doing data processing and training in a single process is very inefficient: the GPU is idle when data is read off disk and processed, and nothing else is done while the GPU is at work. Next, we’ll write...

3

Welcome to Fuel’s documentation! — Fuel 0.1.1 documentation

http://fuel.readthedocs.io/en/rtd2

Getting your data in Fuel. Contributing a dataset to Fuel. Welcome to Fuel’s documentation! Welcome to Fuel’s documentation! Fuel is a data pipeline framework which provides your machine learning models with the data they need. It is planned to be used by both the Blocks. Fuel allows you to easily read different types of data (NumPy binary files, CSV files, HDF5 files, text files) using a single interface which is based on Python’s iterator types. Also, don’t hesitate to file bug reports and featur...

4

Extending Fuel — Fuel 0.2.0 documentation

http://fuel.readthedocs.io/en/latest/extending_fuel.html

Getting your data in Fuel. Contributing a dataset to Fuel. In this section, we’ll cover how to extend three important components of Fuel:. The code presented in this section is for illustration purposes only and is not intended to be used outside of this tutorial. If your dataset interacts with stateful objects (e.g. files on disk), override the. If your data fits in memory. Argument, which is expected to be a. Mapping from source names to their corresponding data. Here’s this class in action:. Typically...

5

API Reference — Fuel 0.2.0 documentation

http://fuel.readthedocs.io/en/latest/api/index.html

Getting your data in Fuel. Contributing a dataset to Fuel. This API reference is currently nothing but a dump of docstrings, ordered alphabetically. Provided by Read the Docs. On Read the Docs. Free document hosting provided by Read the Docs.

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Welcome to Fuel’s documentation! — Fuel 0.2.0 documentation

Getting your data in Fuel. Contributing a dataset to Fuel. Welcome to Fuel’s documentation! Welcome to Fuel’s documentation! Fuel is a data pipeline framework which provides your machine learning models with the data they need. It is planned to be used by both the Blocks. Fuel allows you to easily read different types of data (NumPy binary files, CSV files, HDF5 files, text files) using a single interface which is based on Python’s iterator types. Also, don’t hesitate to file bug reports and featur...

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