'What are the steps involved in creating a Tensorflow.lite model? [closed]
What are the steps involved in creating and training a Tensorflow model to use in an Android app ?
Below is what I think needs to be done in my scenario (based on what I've researched)
- I know I need to gather training images of various car parts and label them using labelImg . Then split into training and testing folders.
- Create and train the model .
- Export it to a .tflite format to later be used in the Android app.
Questions.
- What resources can/should I use ?
- The biggest one would be, what coding examples or coding resources should I follow to create the TF Model ?
I would highly appreciate being pointed in the right direction as to where I should start.
Solution 1:[1]
To answer your question: Can I write the above training model in Python locally on my PC or do I have to use Google colab? --> You can try both seperately, both work. What resources can/should I use ? --> If your refering to GPU you can use that through colab [runtime->change runtime->hardware/device and GPU] The biggest one would be, what coding examples or coding resources should I follow to create the TF Model ? -->Please refer to this link and let us know [https://www.tensorflow.org/lite/examples]
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | TFer |