I trained artificial neural network with 11 inputs and one output. There are total 74 data. I need to compare the predicted values with values calculated from equations of design codes. So can someone help me how can I get the predicted output
if you are dealing with predication use the following piece of code in python :
a=[] for i in range(13623): test_data = np.array(X[i]) w=model.predict(test_data.reshape(1,4), batch_size=1) a.append(w)
actual_val[] for i in range(13623): d=Y[i] actual.append(d)
where X: input , Y : output
if you do not get it contact me to share with you the full code.
If you are working in python and using Tensorflow 2.x, then first load the trained/saved model into a variable say (model1). Then you can get NN model predictions using model1.predict() function:
modelPredictions = model1.predict(samples_to_predict)
print(modelPredictions )
Faisal Hussain and Mohammad Al-Fawa'reh
Thanks for your time.. I am working in MATLAB not Python. Actully i used net(input value); One matrix named 'ans' has created in workspace. i hope this is the output values but i am wondering is this correct..
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