part of its focus n latest annual rport oct 2017:
Apollo 1.5 has been very positively received by our partners and developers. Overall, in Q3, the number of Apollo ecosystem partners has grown from 54 to 74 with more OEMs, component and solution providers as well as startups joining the Apollo ecosystem. We reached strategic agreements with OEMs such BAIC Group; King Long, one of China's largest bus manufacturers and Chery and Jianghuai for commercial L3 productions in 2018 for buses and 2019 for cars as well as L4 production by 2021.
At baidu's us hq, andrew ng appears to have left. He moved from co-founding moocs at coursera stanford to head baidu usa back to this
About This Specialization


5 courses
Projects
Certificates
Try for Free
- Intermediate Specialization.
- Some related experience required.
COURSE 1
Neural Networks and Deep Learning
Upcoming session: Nov 7- Commitment
- 4 weeks of study, 3-6 hours a week
- Subtitles
- English, Chinese (Traditional)
About the Course
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" tYou can choose to take this course only. Learn more.COURSE 2
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Upcoming session: Nov 7- Commitment
- 3 weeks, 3-6 hours per week
- Subtitles
- English
About the Course
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 alYou can choose to take this course only. Learn more.COURSE 3
Structuring Machine Learning Projects
Upcoming session: Nov 7- Commitment
- 2 weeks of study, 3-4 hours/week
- Subtitles
- English
About the Course
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, andYou can choose to take this course only. Learn more.COURSE 4
Convolutional Neural Networks
Starts late October 2017- Subtitles
- English
About the Course
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 from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. You will: - Understand how to build a convolutional neural network, including recent variations such as residual networks. - Know how to apply convolutional networks to visual detection and recognition tasks. - Know to use neural style transfer to generate art. - Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This is the fourth course of the Deep Learning Specialization.You can choose to take this course only. Learn more.COURSE 5
Sequence Models
Starts November 2017- Subtitles
- English
About the Course
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 in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization.You can choose to take this course only. Learn more.
Pricing
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