Deep Learning & Computer Vision: an Introduction

Deep Learning & Computer Vision: an Introduction is the perfect course for students who want exposure to Machine Learning.
This course will cover topics such as: Artificial Neural Networks, how to install Python, and Handwritten Digit Recognition.
Course Information Requirements: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory.
Working knowledge of Python would be helpful if you want to run the source code that is provided.
Highlights: Design and Implement a simple computer vision use-case: digit recognition Confidently move on to more complex and comprehensive material on these topics Grasp the theory underlying deep learning and computer vision Understand use-cases for computer vision as well as deep learning Target Audience: Analytics professionals, modelers, big data professionals who haven’t had exposure to machine learning Engineers who want to understand or learn machine learning and apply it to problems they are solving Product managers who want to have intelligent conversations with data scientists and engineers about machine learning Tech executives and investors who are interested in big data, machine learning or natural language processing MBA graduates or business professionals who are looking to move to a heavily quantitative role