I am struggling a lot in my NN project
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I have 20 inputs and one output. I am trying to train using the Deepnetwork work flow. I tried several combinations of hidden layers with varying number of nodes in those layers. I tried adam and sgdm with various combinations of min batchsize and learning rate (0.1, 0.01, 0.001, 0.0001 ) etc. I am getting the same type of results. Here is a sample I am attaching. The train and val start together for a while then val. does not improve and the network training stops. The results are no good as predictions have huge errors. Not sure what else I can try to improve so any suggestions are welcome and I am willing to try.
Some background. Of the 20, 19 are material related properties and 20 is fatigue load. Output is Number of cylces to failure. I am trying to predict given a set of paramters the SN curve (stress vs Cycles). I have close to 6000 or so SN curves as data to train.