Uploaded September 2018 | Updated September 2026, 2 weeks ago
The next video in my YouTube course on deep learning using the R programming language. The playlist (to date) is available at youtube.com/watch?v=9-QYsN_knG4&list=PLsu0TcgLDUiIKPMXu1k_rItoTV8xPe1cj
In this video I take a look at some of the ways to improve learning, such as normalization, momentum, rmsprop, adaptive moment estimation (ADAM), and more.
The RPubs document is available at rpubs.com/juanhklopper
The R markdown file can be downloaded from github.com/juanklopper/Deep-learning-using-R
The next video in my YouTube course on deep learning using the R programming language. The playlist (to date) is available at youtube.com/watch?v=9-QYsN_knG4&list=PLsu0TcgLDUiIKPMXu1k_rItoTV8xPe1cj
In this video I take a look at some of the ways to improve learning, such as normalization, momentum, rmsprop, adaptive moment estimation (ADAM), and more.
The RPubs document is available at rpubs.com/juanhklopper
The R markdown file can be downloaded from github.com/juanklopper/Deep-learning-using-R
