innat
/ focusnet_sample.py
Created
June 16, 2021 19:17
— forked from prerakmody/focusnet_sample.py
Netron.app example to visualize a tensorflow 2.x model
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| """ | |
| pip install tensorflow | |
| pip install tf2onnx keras2onnx onnxmltools | |
| """ | |
| import os | |
| import pdb | |
| import json | |
| import traceback | |
| os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3" |
innat
/ classifier_from_little_data_script_3.py
Created
January 26, 2019 21:05
— forked from fchollet/classifier_from_little_data_script_3.py
Fine-tuning a Keras model. Updated to the Keras 2.0 API.
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| '''This script goes along the blog post | |
| "Building powerful image classification models using very little data" | |
| from blog.keras.io. | |
| It uses data that can be downloaded at: | |
| https://www.kaggle.com/c/dogs-vs-cats/data | |
| In our setup, we: | |
| - created a data/ folder | |
| - created train/ and validation/ subfolders inside data/ | |
| - created cats/ and dogs/ subfolders inside train/ and validation/ | |
| - put the cat pictures index 0-999 in data/train/cats |