2.1.3 Classifier NN on Render
WIP. Runs on Render (CPU mode).

TOC
- 1 Output
- 2 PY scripts
- 3 Render deploy
- 4 Code with detailed comments. Great commentary for each line of the code (from GPT). Study this closely to understand the gist.
For details see #607_2.1_core_NNs_.docx.
1 Output
curl -X POST https://six07-core-nns.onrender.com/predict \
-H "Content-Type: application/json" \
-d '{"x":0.2,"y":0.1}'
{"x":0.2,"y":0.1,"class":1,"meaning":"inside circle"}

2 PY scripts
- d3_train_classifier.py (just show few lines that changed)
- d3_api_classifier.py (fastapi)
3 Render deploy
Add deploy details.
4 Code with detailed comments
xxx
output
Extremely important concept
text2
26.0527