Description
Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called Artificial Neural Networks. Deep learning algorithms extract layered high-level representations of data in a way that maximizes performance on a given task. Deep learning is behind many recent advances in AI, including Siri’s speech recognition, Facebook’s tag suggestions and self-driving cars. In this course you will learn the foundations of Deep Learning, understand how to build neural networks and different architectures to lead successful machine learning projects in different fields including Computer Vision and Natural Language Processing. You will work on case studies and see how it is applied in industry. You will practice all these ideas in Python and deep learning programming frameworks like Tensor Flow (and others).