December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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How to do it...
We proceed with the recipe as follows:
- Clone the code from Github:
git clone https://github.com/carpedm20/DCGAN-tensorflow
- Download the dataset with the following:
python download.py mnist celebA
- To train a model with the downloaded dataset, use the following:
python main.py --dataset celebA --input_height=108 --train --crop
- To test it with an existing model, use the following:
python main.py --dataset celebA --input_height=108 --crop
- Alternatively, you can use your own dataset by doing the following:
$ mkdir data/DATASET_NAME ... add images to data/DATASET_NAME ... $ python main.py --dataset DATASET_NAME --train $ python main.py --dataset DATASET_NAME $ # example $ python main.py --dataset=eyes --input_fname_pattern="*_cropped.png" ...
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