Deep Learning is a superpower.With it you can make a computer see, synthesize novel art, translate languages, render a medical diagnosis, or build pieces of a car that can drive itself.If that isn’t a superpower, I don’t know what is. Master Deep Learning, and Break into AI. But, I don’t want to make this post, formally, like, A Thing, so think of it instead as some unpolished musings about: the sorts of things you … - Understand the key parameters in a neural network's architecture Instructor: Andrew Ng, DeepLearning.ai. To request a receipt: In your Coursera account, open your My Purchases page. - Know how to implement efficient (vectorized) neural networks The top Reddit posts and comments that mention Coursera's Mathematics for Machine Learning online course by David Dye from Imperial College London. You'll be prompted to complete an application and will be notified if you are approved. You will also learn TensorFlow. Tip : Coursera can make it seem like the only option is to purchase the course. I want to raise awareness for Coursera as a learning destination for all people, especially in my country, because we don’t have data … I am not that. I hope this two week course will save you months of time. Deep learning excels at automated image recognition, also known as computer vision, which is used for creating accurate facial recognition systems and safely driving autonomous vehicles. Check with your institution to learn more. Andrew Ng, the AI Guru, launched new Deep Learning courses on Coursera, the online education website he co-founded.I just finished the first 4-week course of the Deep Learning specialization, and here’s what I learned.. My background. Today it has more than 30 million users and is the largest MooC learning platform currently available. After finishing this specialization, you will likely find creative ways to apply it to your work. You'll receive the same credential as students who attend class on campus. The decision for a subscription is always up to you. 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. We assume you have basic programming skills (understanding of for loops, if/else statements, data structures such as lists and dictionaries). Please visit the Learner Help Center if you have any more questions about enrollment and sessions: https://learner.coursera.help/hc/en-us/articles/209818613. This is the course for which all other machine learning courses are judged. Thank you. Programming experience. Certainly - in fact, Coursera is one of the best places to learn about deep learning. Why couldn't I audit a course on Coursera while there is an option to do that? It takes a fair amaout of time and dedication when you try and learn new … What I want to say So we have listed out our personal favorites! 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