I am trying to make a neural network model with Keras for predicting values (solubilities), basically, it’s a regression model. There are 2 inputs (temperature and salinity) and one output and also configured the input and output layer nodes according to it, 2 and 1 nodes respectively. I am using the GPU conda environment (Knime installed all the required libraries by itself after clicking create an environment in the python deep learning preferences). I have attached the screenshots of my configurations and knime workflow.
The problem is that during the learning process of the network learner the accuracy plot shows a horizontal plot with all values zeros and error plot also seems vague.I have attached a txt file for training data…just rename it to csv as I was not able to attach the csv file as the forum post editor didn’t allowed to.training data.txt (835 Bytes)
Strontium sulphate knime ai(2).knwf (21.0 KB)