Deep Learning Models and AI using Python (SF)
About This Course
• Learn the statistical algorithms behind deep learning and understand how to test hypotheses
• Understand the platforms and tools available for deep learning and the various Python libraries that can be used
• Understand and learn how to code deep learning algorithms and develop models using Python Programming
• Use statistical modelling and deep learning algorithms to train data to perform various actions and derive patterns
• Evaluate deep learning models to identify intended and unintended outcomes
• Evaluate and optimize effectiveness of deep learning models
• Optimize model using Python programming and statistical methods
• Use deep learning models for predictive and diagnostic analysis and draw relevant insights required to support decision making
What You'll Learn
Entry Requirements
This course requires a basic understanding of Python. Participants who do not have the basic knowledge are encouraged to take up Fundamentals of Python Programming prior to this course.