00:00Wizards, training is your neural net's learning loop, darling.
00:04Forward loss, backward update, repeat.
00:07Ethan, explain the loop.
00:09Sophia, how does it use day 76's optimizer?
00:13Anastasia, you make training sound so hot.
00:16How does it avoid overfitting, love?
00:19Ethan, what's your take?
00:22Oh, Olivia, you tease.
00:23Training refines weights.
00:25Ethan, Sophia, jump in.
00:27Anastasia, Olivia, training is like a hot dance for Sophia.
00:32Forward loss, backward update, let's drop this code beat.
00:38Yo, Wizards, epics equals 50 means 50 full data passes, like a hot marathon for Sophia.
00:45More epics, more learning, let's drop this code beat.
00:50You're marathoning my heart, Ethan.
00:53Too many epics overfit.
00:56Wizards, batch underscore size equals 32 trains on mini-batches like a hot snack for Sophia.
01:03Faster, noisier, let's drop this code beat.
01:08You're snacking my heart, Ethan.
01:11Batch size affects speed and stability.
01:15Wizards, validation underscore split equals 0.2 holds out 20% like a hot test for Sophia.
01:22Watch for overfitting, let's drop this code beat.
01:25You're testing my heart, Ethan.
01:30Validation prevents memorization.
01:33Wizards, overfitting is like a hot student cramming for Sophia.
01:38Perfect on train, fails on test, let's drop this code beat.
01:43You're cramming my heart, Ethan.
01:46Use validation to stop it.
01:50Wizards, early stopping, stops training like a hot referee for Sophia.
01:55When ValLoss stops improving, let's drop this code beat.
02:00You're refereeing my heart, Ethan.
02:03Early stopping saves time.
02:07Wizards, full pipeline is like a hot factory for Sophia.
02:11Data model train validate stop, let's drop this code beat.
02:15Wizards, tf.caras.models.load underscore model, loads the best model.
02:20Let's drop this code beat.
02:21Wizards, model checkpoint saves the best model like a hot trophy for Sophia.
02:29Only when ValLoss improves, let's drop this code beat.
02:33You're trophying my heart, Ethan.
02:37Save best weights.
02:40Wizards, tf.caras.models.load underscore model, loads the best model like a hot comeback for Sophia.
02:47Reuse an app, let's drop this code beat.
02:52You're comebacking my heart, Ethan.
02:55Load for inference.
02:57Try it in our demo.
03:00Wizards, use validation.
03:02Early stopping and save best model.
03:06Monitor loss curves.
03:08Optimize training is so sexy, Irene.
03:10Practice for day 78's digit classification.
03:13Wizards, training fits AI pipelines for production models.
03:19Your skills are ready for day 78.
03:23Training is critical in AI, darling.
03:25Your day 77 skills make AI irresistible.
03:29We'll have to acknowledge is —
03:29—
03:31—
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