Uploaded October 2018 | Updated September 2026, 1 week ago
This series on an introduction to deep learning for domain experts contains with this first example of a convolutional neural network. You can start the series at youtube.com/watch?v=9-QYsN_knG4&list=PLsu0TcgLDUiIKPMXu1k_rItoTV8xPe1cj
The example contains all the layers and ideas that we looked at in the previous video. I use the built-in MNIST image dataset as example. This dataset contains 60000 training images, each of size 28-by-28 pixels in black-and-white. Each image is a handwritten digit of the 10 numbers, 0 through 9. The model must learn to classify these.
The R markdown file is available at rpubs.com/juanhklopper/example_of_a_CNN
The RMD file is avaialbe on Github at github.com/juanklopper/Deep-learning-using-R
This series on an introduction to deep learning for domain experts contains with this first example of a convolutional neural network. You can start the series at youtube.com/watch?v=9-QYsN_knG4&list=PLsu0TcgLDUiIKPMXu1k_rItoTV8xPe1cj
The example contains all the layers and ideas that we looked at in the previous video. I use the built-in MNIST image dataset as example. This dataset contains 60000 training images, each of size 28-by-28 pixels in black-and-white. Each image is a handwritten digit of the 10 numbers, 0 through 9. The model must learn to classify these.
The R markdown file is available at rpubs.com/juanhklopper/example_of_a_CNN
The RMD file is avaialbe on Github at github.com/juanklopper/Deep-learning-using-R
