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If you actually want to understand and implement neural nets from scratch, look into 3Blue1Brown's videos as well as Andrew Ng's course. https://www.3blue1brown.com/topics/neural-networks https://www.coursera.org/learn/machine-learning
I did the ML Coursera course by Andrew Ng a few years ago. I liked the material but I felt the course focused a little too much on the details and not enough on actual application.
Would learning DNN from a book like 1. https://www.manning.com/books/deep-learning-with-pytorch or 2. https://www.manning.com/books/deep-learning-with-python-seco...
Be a better approach for someone looking to learn concepts and application rather than the detailed mathematics behind it?
If yes, which of these two books (or alternative) would you recommend ?
If you actually want to understand and implement neural nets from scratch, look into 3Blue1Brown's videos as well as Andrew Ng's course. https://www.3blue1brown.com/topics/neural-networks https://www.coursera.org/learn/machine-learning
I completed Andrew Ng's Coursera course and one thing it did not do is make me understand neural nets from scratch. Probably, you and I have different interpretation of "from scratch".