资源算法NeuralProgrammer

NeuralProgrammer

2019-09-20 | |  76 |   0 |   0

Neural Programmer

Implementation of the Neural Programmer model described in paper

Download and extract the data from dropbox. Change the data_dir FLAG to the location of the data.

Training

python neural_programmer.py

The models are written to FLAGS.output_dir

Testing

python neural_programmer.py --evaluator_job=True

The models are loaded from FLAGS.output_dir. The evaluation is done on development data.

In case of errors because of encoding, add "# -*- coding: utf-8 -*-" as the first line in wiki_data.py

Maintained by Arvind Neelakantan (arvind2505)

链接:https://github.com/tensorflow/models/tree/master/research/neural_programmer

上一篇:NeuralGpu

下一篇:NextFramePrediction

用户评价
全部评价

热门资源

  • Keras-ResNeXt

    Keras ResNeXt Implementation of ResNeXt models...

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • spark-corenlp

    This package wraps Stanford CoreNLP annotators ...

  • capsnet-with-caps...

    CapsNet with capsule-wise convolution Project ...

  • inferno-boilerplate

    This is a very basic boilerplate example for pe...