How to implement stochastic gradient descent and a complete training loop from scratch.The latest Deep Learning techniques that really matter in practice.How to use that knowledge to improve the accuracy, speed, and reliability of your models.How to turn your models into web applications, and deploy them.How to train models that achieve state-of-the-art results in computer vision, natural language processing (NLP), tabular data, and collaborative filtering.The book is one of the top selling Deep Learning books on Amazon.Īfter finishing this course you will know: He is the former president and chief scientist of Kaggle, the world's largest machine learning community.Īdditionally, the course includes a book that you can access online for free. And Jeremy has taught machine learning for the past 30 years. Sylvain Gugger is a researcher who has written 10 math textbooks. ![]() The course is from fast.ai, and was developed by Jeremy Howard and Sylvain Gugger. We published a 15-hour Deep Learning course on the YouTube channel with the goal of making Deep Learning accessible to as many people as possible. Well as long as you've passed high school math, know the basics of coding, and have a computer that's connected to the internet, you can learn to do world-class Deep Learning. You might think that in order to use Deep Learning techniques, you'd need to know advanced mathematics, or have access to powerful computers. ![]() With Deep Learning – a form of Machine Learning (Artificial Intelligence) – computers can extract and transform data using multiple layers of neural networks. Deep Learning can help computers perform human-like tasks such as speech recognition and image classification.
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