Transfer Learning: Modeling With The Pretrained MobileNetV2:Training_CNN_Model.ipynb
Transfer Learning: Modeling With The Pretrained Efficientnet_v2:Training_CNN_Model(efficientnet_v2).ipynb
1) Define the model: Select the type of model and choose its architecture.
2) Compile the model: Select a loss function, an algorithm to perform the optimization procedure, performance metrics to track during the training process.
3) Fit the model: Training the model requires selecting the training configuration (e.g. number of epochs, the batch size).
4) Evaluate the model: Choose a test dataset and get performance metrics that can be reported.
5) Make predictions: Make a prediction of a class label, probability, or numerical value