Early Stopping & Checkpoint Implementation | Keras Tensorflow | Python
⭐️ Content Description ⭐️
In this video, I have explained about the usage of early stopping and checkpoint for neural network training using Keras Tensorflow. Early stopping is used to prevent overfitting along with saving time and resource. Checkpoints are used to save intermediate steps or save best model based on the metrics for reuse.
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🕒 Timeline
00:00 Introduction to Early Stopping & Checkpoint
00:55 Setup MNIST model training code
05:21 Early Stopping & Checkpoint for Best Model
11:47 Early Stopping & Checkpoint for Intermediate Steps
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