introduction-to-deep-learning-models-with-tensorflow-online-code-2

The lessons look at the key mathematical foundations of deep learning models, giving you insight into what makes these techniques work. Created for software engineers and budding data scientists, the course requires basic familiarity with Python programming; as well as statistics concepts such as linear and logistic regression, machine learning concepts like classification, and linear algebra. Jupyter Notebook is used to write and run code. Lucas Adams is a senior level machine learning engineer at Jet.com, where he deploys TensorFlow for computer vision and natural language processing systems.