About this Course

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

「TensorFlow Specialization(TensorFlow専門講座)」の講座1、Python コーディング、高校レベルの数学の知識が必要です。機械学習/ディープラーニングの経験は必須ではありませんが、あれば有用です。

Approx. 10 hours to complete
Japanese

What you will learn

  • 現実世界の画像データを扱う

  • 損失と精度をプロットする

  • 拡張とDropout を含めた過学習を防ぐための戦略を探る

  • 転移学習および、学習済みの特徴をモデルから抽出する方法を学ぶ

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

「TensorFlow Specialization(TensorFlow専門講座)」の講座1、Python コーディング、高校レベルの数学の知識が必要です。機械学習/ディープラーニングの経験は必須ではありませんが、あれば有用です。

Approx. 10 hours to complete
Japanese

Offered by

Placeholder

DeepLearning.AI

Syllabus - What you will learn from this course

Week1
Week 1
3 hours to complete

より大きなデータセットを探求する 

3 hours to complete
8 videos (Total 18 min), 5 readings, 2 quizzes
Week2
Week 2
3 hours to complete

拡張:過学習を回避する技法 

3 hours to complete
7 videos (Total 14 min), 6 readings, 2 quizzes
Week3
Week 3
3 hours to complete

転移学習 

3 hours to complete
7 videos (Total 14 min), 5 readings, 2 quizzes
Week4
Week 4
3 hours to complete

多クラス分類 

3 hours to complete
6 videos (Total 12 min), 5 readings, 2 quizzes

Frequently Asked Questions

More questions? Visit the Learner Help Center.