このコースについて

91,289 最近の表示
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における6の3コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
中級レベル
約9時間で修了
英語
字幕:英語

習得するスキル

Deep LearningArtificial Neural NetworkArtificial Intelligence (AI)Machine Learningkeras
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における6の3コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
中級レベル
約9時間で修了
英語
字幕:英語

提供:

IBM ロゴ

IBM

シラバス - 本コースの学習内容

1

1

2時間で修了

Introduction to Neural Networks and Deep Learning

2時間で修了
4件のビデオ (合計17分), 1 reading, 2 quizzes
4件のビデオ
Welcome2 分
Introduction to Deep Learning4 分
Neurons and Neural Networks3 分
Artificial Neural Networks5 分
1件の学習用教材
Syllabus10 分
1の練習問題
Introduction to Neural Networks and Deep Learning30 分
2

2

1時間で修了

Artificial Neural Networks

1時間で修了
4件のビデオ (合計22分)
4件のビデオ
Backpropagation9 分
Vanishing Gradient1 分
Activation Functions5 分
1の練習問題
Artificial Neural Networks30 分
3

3

3時間で修了

Keras and Deep Learning Libraries

3時間で修了
3件のビデオ (合計16分)
3件のビデオ
Regression Models with Keras6 分
Classification Models with Keras5 分
1の練習問題
Keras and Deep Learning Libraries30 分
4

4

2時間で修了

Deep Learning Models

2時間で修了
4件のビデオ (合計17分)
4件のビデオ
Convolutional Neural Networks8 分
Recurrent Neural Networks2 分
Autoencoders2 分
1の練習問題
Deep Learning Models30 分

レビュー

INTRODUCTION TO DEEP LEARNING & NEURAL NETWORKS WITH KERAS からの人気レビュー

すべてのレビューを見る

IBM AI Engineering プロフェッショナル認定について

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning. You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders. By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer....
IBM AI Engineering

よくある質問

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。