Custom object classification using Machine Learning
Object classification for beginners.
Load data
Define training and validating data set
Look into training and validation data
Define a ML model to classify images
Compile model - Define optimization and loss
Log training and validation loss/accuracy
Train the model
Visualize loss/accuracy in tensorboard
Save the model in local drive
Load the model for inference
Check model summary – trainable parameters
Make inference on some data from validation set
Confusion matrix
Links to resources / reference:
implemented models in tf:https://www.tensorflow.org/versions/r...
tf model zoo - lsit of implemented models : https://github.com/tensorflow/models/...
model garden : https://github.com/tensorflow/models
model garden: https://github.com/tensorflow/models/...
keras implementatation of standard model: https://keras.io/api/applications/
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