Acerca de este Curso
249,462 vistas recientes

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Aprox. 7 horas para completar

Sugerido: 2 weeks of study, 3-4 hours/week...

Inglés (English)

Subtítulos: Chino (tradicional), Chino (simplificado), Coreano, Turco (Turkish), Inglés (English), Español (Spanish)...

Habilidades que obtendrás

Machine LearningDeep LearningInductive TransferMulti-Task Learning

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Aprox. 7 horas para completar

Sugerido: 2 weeks of study, 3-4 hours/week...

Inglés (English)

Subtítulos: Chino (tradicional), Chino (simplificado), Coreano, Turco (Turkish), Inglés (English), Español (Spanish)...

Programa - Qué aprenderás en este curso

Semana
1
2 horas para completar

ML Strategy (1)

13 videos (Total 100 minutos), 1 lectura, 1 cuestionario
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 lectura
Machine Learning flight simulator2m
1 ejercicio de práctica
Bird recognition in the city of Peacetopia (case study)45m
Semana
2
3 horas para completar

ML Strategy (2)

11 videos (Total 132 minutos), 1 cuestionario
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 ejercicio de práctica
Autonomous driving (case study)45m
4.8
3509 revisionesChevron Right

36%

comenzó una nueva carrera después de completar estos cursos

38%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

14%

consiguió un aumento de sueldo o ascenso

Principales revisiones sobre Structuring Machine Learning Projects

por AMNov 23rd 2017

I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

por DCMar 8th 2018

Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!

Instructores

Avatar

Andrew Ng

CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain
Avatar

Teaching Assistant - Younes Bensouda Mourri

Mathematical & Computational Sciences, Stanford University, deeplearning.ai
Computer Science
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Head Teaching Assistant - Kian Katanforoosh

Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec

Acerca de deeplearning.ai

deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders....

Acerca de Programa especializado Aprendizaje profundo

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....
Aprendizaje profundo

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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