Mnasnet 的一个 Tensorflow Keras 实现
A Tensorflow Keras implementation (Graph and eager execution) of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile. 提供在MNIST数据集上进行训练和评估的示例。
Python 机器学习
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详细介绍
MNasNet
Keras (Tensorflow) Implementation of MNasNet and an example for training and evaluating it on the MNIST dataset. Check also the eager execution implementation
According to the paper: MnasNet: Platform-Aware Neural Architecture Search for Mobile
Requirement
- Python 2.7+
- Tensorflow-gpu 1.10
Train it
Train the MNasNet model on the MNIST dataset! just execute:
python train.py
For checking and inspecting the Mnasnet model described in the paper, execute:
python Mnasnet.py
Train it with eager execution
Train the MNasNet (eager) model on the MNIST dataset! just execute:
python train_eager.py
The eager execution implementation also outputs logs on Tensorboard. For its visualization:
tensorboard --logdir=train_log:./logs/train, test_log:./logs/test
MnasNet for... Semantic Segmentation!
In this other repository, FC-Mnasnet I added a decoder to the MnasNet architecture in order to turn it into a semantic segmentation model.
