I used a pre-made model with Keras for training a data-set about URLs. results are saved in a .h5 format and I am wondering if I could convert that saved .h5 file to JSON so that I could see the results and apply the JSON file in my system that separates bad URLs from good URLs. I also want to avoid re-training again if possible.

I used a pre-made model with Keras for training a data-set about URLs. results are saved in a .h5 format and I am wondering if I could convert that saved .h5 file to JSON so that I could see the results and apply the JSON file in my system that separates bad URLs from good URLs. I also want to avoid re-training again if possible.

• javascript
• python
• json
• keras

Share Improve this question Follow edited Mar 22, 2019 at 0:34 Rishabh Bhargava 3766 bronze badges asked Mar 21, 2019 at 23:33 Alexander WazowskiAlexander Wazowski 9111 gold badge11 silver badge55 bronze badges 3

• You can refer to the answers at here: stackoverflow./questions/28170623/… – Han Wang Commented Mar 21, 2019 at 23:38
• I needed it to convert to json so that I could call that json file using javascript and get the data from it – Alexander Wazowski Commented Mar 21, 2019 at 23:51
• You can refer the answers here for saving as json: stackoverflow./questions/12309269/… – Manoj Mohan Commented Mar 22, 2019 at 17:42

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As mentioned in https://www.tensorflow/js/guide/conversion

For example, let’s say you have saved a Keras model named model.h5 to your tmp/ directory. To convert your model using the TensorFlow.js converter, you can run the following mand:

tensorflowjs_converter --input_format=keras /tmp/model.h5 /tmp/tfjs_model

At first

!sudo pip3 install tensorflowjs

Then

!sudo tensorflowjs_converter

Just replace model.h5 with your trained weight

!tensorflowjs_converter --input_format=keras '/content/drive/MyDrive/model.h5' "/content/drive/MyDrive/json"

you are good to go your file will me converted!