یادگیری عمیق | بیش برازش | جلسه بیست و دو | Deep Learning | Overfitting
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With the use of a complex deep neural network architecture, a model has the capacity to learn from training data very effectively.
However, a model's ability to learn well from training data does not necessarily guarantee its ability to generalize well to unseen data, which is the ultimate goal in deep learning.
Errors in unseen data, also known as test or validation data, can arise from different causes:
1. Inherent uncertainty
2. The volume of training data
3. The model itself
Overfitting is a common problem in machine learning where the model learns the training data so well that it performs poorly on the test data. It’s like studying for an exam by memorizing the textbook, but failing to apply the concepts to new problems.
هدف کانال: کمک به افراد و سازمان‌ها برای طراحی، ایجاد و استقرار نرم‌افزار با کیفیت
بهترین راه ارتباط با من از طریق ایمیل به نشانی زیر است:
[email protected]
شبکه‌های اجتماعی که در آن حضور فعال داریم:
https://t.me/golemcourse
https://github.com/aaghamohammadi
LinkedIn: aaghamohammadi
With the use of a complex deep neural network architecture, a model has the capacity to learn from training data very effectively.
However, a model's ability to learn well from training data does not necessarily guarantee its ability to generalize well to unseen data, which is the ultimate goal in deep learning.
Errors in unseen data, also known as test or validation data, can arise from different causes:
1. Inherent uncertainty
2. The volume of training data
3. The model itself
Overfitting is a common problem in machine learning where the model learns the training data so well that it performs poorly on the test data. It’s like studying for an exam by memorizing the textbook, but failing to apply the concepts to new problems.
هدف کانال: کمک به افراد و سازمان‌ها برای طراحی، ایجاد و استقرار نرم‌افزار با کیفیت
بهترین راه ارتباط با من از طریق ایمیل به نشانی زیر است:
[email protected]
شبکه‌های اجتماعی که در آن حضور فعال داریم:
https://t.me/golemcourse
https://github.com/aaghamohammadi
LinkedIn: aaghamohammadi
2 ماه پیش
در تاریخ 1403/02/20 منتشر شده
است.
52
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