When we run a deep network model using Keras, we can make use of tfruns to visualize a loss and accuracy plot, as well as other model-related summaries. Although we can also obtain the plot and related summaries when required, the main advantage of using tfruns is that we can obtain them all in one place. We can make use of the following code to achieve this:
library(tfruns)
training_run("mlp_ctg.R")
In the preceding code, the R file that's being referenced contains the code to run model_one from Chapter 2, Deep Neural Networks for Multi-Class Classification. The mlp_ctg.R file may be stored on the computer when we run the code. As soon as we have run the code, the following interactive screen is automatically presented:
The page shown in the preceding screenshot provides the following:
- An interactive plot of the loss and...
