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Kick off with 1970s jazz, coffee, and neural training! Join Anastasia, Irene, Ethan, Sophia, and Olivia as we master epochs, validation, early stopping for Iris. Sophia leads two demos, Ethan drops flirty code. Support at PayPal.me/DailyAIWizard! Get ready for Day 78: Digit Classification! Subscribe, like, share your ai_iris_training.py!

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Learning
Transcript
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
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