Save a trained model using ModelCheckpoint in Keras - Python
In this video, you will learn how to Save a trained model using ModelCheckpoint in Keras, Python.
Before you watchi this video, I recommend to watch the videos below first:
1: Write a Deep Autoencoder Network in Keras - Python
• Write a Deep Autoencoder Network in Keras ...
2: Load and Read MNIST Images in Python
• Load and Read MNIST Images in Python
3: Train a Deep Autoencoder Network on MNIST dataset in Keras and Record duration of Training - Python
• Train a Deep Autoencoder Network on MNIST ...
MNIST Dataset from Keras:
https://keras.io/api/datasets/mnist/
In this video, the workspace includes windows 10 and Anaconda with Spyder as Python editor.
More important links:
1: How to check by values of training loss and validation loss if model is facing underfitting / overfitting:
https://stackoverflow.com/questions/4...
2: What to do if model is showing underfitting / overfitting:
https://docs.aws.amazon.com/machine-l...