Welcome to Break into NLP – a virtual live event! NLP is an essential part of the practical application of AI. To celebrate the launch of Sequence Models, Course 3 of Natural Language Processing – a deeplearning.ai Specialization – we’ve assembled a panel of experts in the NLP field. They’re going to talk about their current projects, and the future of NLP and also provide career advice for ML practitioners or non-MLEs hoping to break into NLP. Agenda: PDT (*subject to change) MC: Ryan Keenan, Director of Product at deeplearning.ai Opening Keynote: Łukasz Kaiser, Staff Research Scientist at Google Brain Keynote Speech: Andrew Ng, Founder of deeplearning.ai Panel discussion: (listed in alphabetical order by last name) Kenneth Church, Distinguished Scientist, Baidu USA Marti Hearst, Professor, School of Information and EECS Department, UC Berkeley Łukasz Kaiser, Staff Research Scientist at Google Brain Younes Mourri, Instructor of AI at Stanford University Andrew Ng, Founder of deeplearning.ai Q&A (Questions will be sourced from deeplearning.ai’s NLP learners on Slack community) Course demo: Younes Mourri, Instructor of AI at Stanford University Enroll in NLP Specialization: https://bit.ly/2ZsUtrK Enroll in Course 3 of NLP Specialization: https://bit.ly/2Wq7Kzy Check out all our courses: https://bit.ly/38Yikm5
This trailer is for the Deep learning Specialization. If you want to break into Artificial Intelligence (AI), this specialization will help you do so. Enroll today at https://www.coursera.org/specializations/deep-learning?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=deeplearning-ai to get access to the specialization! About this specialization: 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. Visit https://www.coursera.org/specializations/deep-learning?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=deeplearning-ai to learn more! Keep in touch with Coursera! Twitter: https://twitter.com/coursera Facebook: https://www.facebook.com/Coursera/