Introduction to Deep Learning

This 3-credit-hour, 16-week course covers the fundamentals of deep learning. Students will gain a principled understanding of the motivation, justification, and design considerations of the deep neural network approach to machine learning and will complete hands-on projects using TensorFlow and Keras.

What you'll learn

• Justify the development state-of-the-art deep learning algorithms.
• Make design choices regarding the construction of deep learning algorithms.
• Implement, optimize and tune state-of-the-art deep neural network architectures.
• Identify and address the security aspects of state-of-the-art deep learning algorithms.
• Examine open research problems in deep learning and propose approaches in the literature to tackle them.