The fourth course in Andrew Ng's Deep Learning Specialization on Coursera, covering convolutional neural networks for image data, including convolution layers, pooling, and classic architectures and applications such as object detection and face recognition.

Commenters say the course has been great and recommend working through its notebooks and the interviews with deep learning pioneers.

What commenters said (1)

1. Recommendsbabesh2020in “Ask HN: Which Coursera courses/specializations you recommend?”

   I think it would be useful to take Udacity’s machine learning class as well to provide an additional perspective. There are some parallels such as edge detection uses the same techniques as convolutional networks, regularization is a general technique useful for both neural networks and clustering, optimization of steps in planning probably has a parallel to how Alpha Go works. Particle filters was cool.

   Also, take several of the classes in the specialization. Don’t stop at the first course. Convolutional networks has been great.

   I liked working on the notebooks and watching the interviews with some of the pioneers of Deep Learning.

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