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Google Teachable Machine

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README.md

PROJECT TITLE : GOOGLE TEACHABLE MACHINE

AIM

To implement the Google Teachable Machine Model from scratch.

DESCRIPTION

This is a classification problem where we need to classify different categories of image data input. We use Google Teachable Machine.

MODELS USED

Google Teachable Machine Implemented from Scratch

LINK TO .H5 FILE:

model

MODEL ARCHITECTURE:

keras_model

keras_model_sequential1

keras_model_sequenial3

keras_model_sequential1_model

DEPLOYMENT

View various methods of deployment here

LIBRARIES NEEDED

  1. Numpy
  2. Tensorflow
  3. Keras
  4. Pandas

CONCLUSION

We can conclude that our Google Teachable Machine model classifies different categories of an image data-set.

CONTRIBUTED BY

Shreya Ghosh