Deep Learning CNN Convolutional Neural Networks with Python - Focus of the Course

This course provides a comprehensive introduction to convolutional neural networks (CNNs), starting from classical computer vision techniques and progressing to advanced deep learning models. It emphasizes a Pythonic approach, using Python code to simplify complex concepts like backpropagation and convolution. The course covers recent models and frameworks, including Tensorflow and Mobilenet, and includes practical projects on transfer learning and object detection. Designed for beginners, it offers live coding sessions and activities to enhance understanding.

What are some of the recent models and algorithms introduced in the course?

Describe the approach taken in the course to teach deep learning concepts.

How does the course ensure that students understand both the basics and advanced topics in convolutional neural networks?