Description

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

Sample clip