Über diesen Kurs

590,588 kürzliche Aufrufe

Karriereergebnisse der Lernenden

36%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

38%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

14%

erhalten Sie eine Gehaltserhöhung oder Beförderung
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Anfänger“
Ca. 5 Stunden zum Abschließen
Englisch
Untertitel: Chinesisch (traditionell), Chinesisch (vereinfacht), Koreanisch, Türkisch, Englisch, Spanisch...

Kompetenzen, die Sie erwerben

Machine LearningDeep LearningInductive TransferMulti-Task Learning

Karriereergebnisse der Lernenden

36%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

38%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

14%

erhalten Sie eine Gehaltserhöhung oder Beförderung
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Anfänger“
Ca. 5 Stunden zum Abschließen
Englisch
Untertitel: Chinesisch (traditionell), Chinesisch (vereinfacht), Koreanisch, Türkisch, Englisch, Spanisch...

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Lehrplan - Was Sie in diesem Kurs lernen werden

InhaltsbewertungThumbs Up97%(22,907 Bewertungen)Info
Woche
1

Woche 1

2 Stunden zum Abschließen

ML Strategy (1)

2 Stunden zum Abschließen
13 Videos (Gesamt 100 min), 1 Lektüre, 1 Quiz
13 Videos
Orthogonalization10m
Single number evaluation metric7m
Satisficing and Optimizing metric5m
Train/dev/test distributions6m
Size of the dev and test sets5m
When to change dev/test sets and metrics11m
Why human-level performance?5m
Avoidable bias6m
Understanding human-level performance11m
Surpassing human-level performance6m
Improving your model performance4m
Andrej Karpathy interview15m
1 Lektüre
Machine Learning flight simulator2m
1 praktische Übung
Bird recognition in the city of Peacetopia (case study)45m
Woche
2

Woche 2

3 Stunden zum Abschließen

ML Strategy (2)

3 Stunden zum Abschließen
11 Videos (Gesamt 132 min)
11 Videos
Cleaning up incorrectly labeled data13m
Build your first system quickly, then iterate6m
Training and testing on different distributions10m
Bias and Variance with mismatched data distributions18m
Addressing data mismatch10m
Transfer learning11m
Multi-task learning12m
What is end-to-end deep learning?11m
Whether to use end-to-end deep learning10m
Ruslan Salakhutdinov interview17m
1 praktische Übung
Autonomous driving (case study)45m

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Über den Spezialisierung Deep Learning

If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI....
Deep Learning

Häufig gestellte Fragen

  • 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 Specialization, 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.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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