Deep Learning - Convolutional Neural Networks with TensorFlow - Outline

This course focuses on teaching Tensorflow 2 through an API-first, practice-oriented approach. While math is not the primary focus, it is included to aid intuition. The course requires basic knowledge of Python and Tensorflow 2, but prerequisites are not barriers. The course covers convolutional neural networks, deep learning tricks, and transfer learning, with an emphasis on practical application.

What is the primary focus of this course?

What are the three major subjects in math that are beneficial for this course?

How should students approach the math content in this course?

What prerequisites should students meet to succeed in this course?

What is the significance of convolution in this course?

What are some deep learning tricks mentioned in the course?

What is transfer learning and how is it applied in this course?