Deep Learning Specialization
Master Deep Learning, and Break into AI
À propos de cette Spécialisation
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.
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Partenaires du secteur :
5 courses
Suivez l'ordre suggéré ou choisissez le vôtre.
Projets
Conçu pour vous aider à vous exercer et à appliquer les compétences que vous avez acquises.
Certificats
Mettez en évidence vos nouvelles compétences sur votre CV ou sur LinkedIn.
Vue d'ensemble des projets
Cours
- Intermediate Specialization.
- Some related experience required.
COURS 1
Neural Networks and Deep Learning
Session en cours : May 21- Engagement
- 4 weeks of study, 3-6 hours a week
- Sous-titres
- English, Chinese (Traditional), Chinese (Simplified), Portuguese (Brazilian), Japanese
À propos du cours
If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" tVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 2
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Session en cours : May 21- Engagement
- 3 weeks, 3-6 hours per week
- Sous-titres
- English, Chinese (Traditional), Chinese (Simplified)
À propos du cours
This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will alVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 3
Structuring Machine Learning Projects
Session en cours : May 21- Engagement
- 2 weeks of study, 3-4 hours/week
- Sous-titres
- English, Chinese (Traditional), Chinese (Simplified)
À propos du cours
You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, andVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 4
Convolutional Neural Networks
Session à venir : May 28- Engagement
- 4 weeks of study, 4-5 hours/week
- Sous-titres
- English
À propos du cours
This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging fVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 5
Sequence Models
Session en cours : May 21- Sous-titres
- English
À propos du cours
This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications iVous pouvez choisir de suivre seulement ce cours. En savoir plus.
Créateurs
Andrew Ng
Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain
Teaching Assistant - Younes Bensouda Mourri
Mathematical & Computational Sciences, Stanford University, deeplearning.ai
Head Teaching Assistant - Kian Katanforoosh
Adjunct Lecturer at Stanford University, deeplearning.ai, Ecole Centrale Paris
FAQs
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