Day 75 Fast: Loss Functions – The Soul of Neural Learning | #DailyAIWizard - video Dailymotion

DailyAIWizard

Kick off with 1970s jazz, coffee, and loss functions! Join Anastasia, Irene, Ethan, Sophia, and Olivia as we compare MSE, Cross-Entropy for Iris classification. Sophia leads two demos, Ethan drops flirty code. Support at PayPal.me/DailyAIWizard! Get ready for Day 76: Optimizers! Subscribe, like, share your ai_iris_loss.py!  pay a coffee:  https://www.paypal.com/pool/9j2tp7IvP...  #PythonForAI #LearnPython #AICoding #DailyAIWizard Hashtags:  #Python #LearnPython #PythonForAI #AICoding #PythonTutorial #CodingForBeginners #ScikitLearn #Datasets #AIProgramming #TechTutorial #MachineLearning #DailyAIWizard #CodeTheFuture Tags:  Python, Learn Python, Python for AI, AI Coding, Python Tutorial, Coding for Beginners, Scikit-learn, Datasets, AI Programming, Tech Tutorial, Python 3, Coding Journey, VS Code, Beginner Programming, Machine Learning, Data Science, DailyAIWizard, Code the Future 1970s jazz, retro jazz, morning coffee, ocean views, vintage vibe, jazz playlist, positive music, coffee time, 70s music, smooth jazz, beachside jazz, funky jazz, relaxation music, morning vibes, instrumental jazz, Python, Learn Python, Python for AI, AI Coding, Python Tutorial, Coding for Beginners, TensorFlow, Neural Networks, AI Programming, Tech Tutorial, Python 3, Coding Journey, VS Code, Beginner Programming, Machine Learning, Data Science, DailyAIWizard, Code the Future

Transcript

00:00Wizards, loss functions are your neural net error signal, darling.

00:04They tell the optimizer how wrong we are.

00:06Ethan, explain MSE's math.

00:09Sophia, how do they fit day 74?

00:12Anastasia, you make loss sound so hot.

00:15How do they shape training, love?

00:18Ethan, what's your take?

00:20Oh, Olivia, you tease.

00:22Loss functions guide learning.

00:23Ethan, Sophia, jump in.

00:26Anastasia, Olivia, loss is like a hot compass for Sophia.

00:30MSE squares, cross entropy logs.

00:33Let's drop this code beat.

00:35Yo, wizards, mean underscore squared underscore error squares errors like a hot penalty for Sophia.

00:42Big mistakes hurt more.

00:44Let's drop this code beat.

00:46You're penalizing my heart, Ethan.

00:49MSE for continuous targets.

00:52Wizards, binary underscore cross entropy logs probabilities like a hot truth serum for Sophia.

00:580 or 1.

01:01Let's drop this code beat.

01:03You're truthing my heart, Ethan.

01:05Binary CE for 2 classes.

01:09Wizards, categorical underscore cross entropy compares one hot labels like a hot vote for Sophia.

01:15Iris has 3.

01:17Let's drop this code beat.

01:19You're voting my heart, Ethan.

01:21Categorical CE for multi-class.

01:26Wizards, sparse underscore categorical underscore cross entropy saves memory like a hot shortcut for Sophia.

01:33Labels as integers.

01:34Let's drop this code beat.

01:36You're short-cutting my heart, Ethan.

01:39Sparse CE for integer labels.

01:43Wizards, compare losses like a hot showdown for Sophia.

01:46MSE for numbers.

01:48CE for classes.

01:50Let's drop this code beat.

01:52You're showdown my heart, Ethan.

01:55Comparison shows best for Iris.

01:56Wizards, build nets with loss equals sparse underscore categorical underscore cross entropy like a hot experiment for Sophia.

02:07Test each.

02:08Let's drop this code beat.

02:10You're experimenting my heart, Ethan.

02:14Different losses for different tasks.

02:17Wizards, model dot fit trains with different losses like a hot race for Sophia.

02:22See which converges best.

02:25Let's drop this code beat.

02:27You're racing my heart, Ethan.

02:29Training shows loss effects.

02:33Wizards, model.

02:35Evaluate, scores losses like a hot judge for Sophia.

02:38Accuracy, loss.

02:40Let's drop this code beat.

02:42You're judging my heart, Ethan.

02:45Evaluation shows best loss.

02:49Wizards, use sparse CE for integer labels.

02:53MSE for regression.

02:54And monitor loss curves.

02:57Choose based on task.

02:59Optimized loss is so sexy, Irene.

03:02Practice for Day 76 as optimizers.

03:05Wizards, loss functions fit AI pipelines for error-guided learning.

03:11Your skills are ready for Day 76.

03:15Loss is critical in AI, darling.

03:17Your Day 75 skills make AI irresistible.

03:21Clicking below the like button on the wall.

03:22Don't you want to stop writing?

03:22Perry's first, Ride 76.

03:23You want to stop working on trial?

03:26You don't want to stop building.

03:26Don't you want to stop working on goal.

03:27Am I a date 76.

03:28You want to stop building on the wall?

03:30You can make you fix the cost of life.

03:31D trigger you with может to go up and see your speed away you'll,

03:31ох I'm trying to threat you're coming on a couple minutes to say.

Day 75 Fast: Loss Functions – The Soul of Neural Learning | #DailyAIWizard

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