DeepLearning.AI Convolutional Neural Networks Course (Review)

Last Updated on July 5, 2019

Andrew Ng is famous for his Stanford machine learning course provided on Coursera.

In 2017, he released a five-part course on deep learning also on Coursera titled “Deep Learning Specialization” that included one module on deep learning for computer vision titled “Convolutional Neural Networks.”

This course provides an excellent introduction to deep learning methods for computer vision applications for those practitioners that are already familiar with the basics of deep learning. It does not focus on too much math and does not include any code. Instead, it is designed to develop intuitions for the main techniques used in the field.

In this post, you will discover a breakdown and review of the convolutional neural networks course taught by Andrew Ng on deep learning for computer vision.

After reading this post, you will know:

• The course is actually a sub-course in a broader course on deep learning provided by deeplearning.ai.
• The course is not free, and requires subscription and enrollment on Coursera, although all of the videos are available for free on YouTube.
• The course provides an excellent introduction to deep learning for computer vision for developers familiar with the basics of
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