predict with Keras fails due to faulty environment setup

Question

I can\'t get Keras to predict anything. Not even in this minimalistic model:

from keras.models import Sequential
from keras.layers import Dense
import numpy as np         


        

Answer 1

It turned out the code wasn't the problem, but there was something wrong with my software. After the following steps, the above code runs without errors or warnings:

1. uninstall anaconda
2. install anaconda
3. create new environment
4. install required packages into that environment (keras, tensorflow, spyder...)
5. run code in that environment

Answer 2

I pasted your code into https://colab.research.google.com and it didn't give me an error. (python2)

I did however get a warning about int to float conversion.

I would try to specify the test_input dtype explicitly as in:

test_input = np.zeros((1,inDim), dtype=float)

Since that seems to be the error message that is being output.

Answer 3

I uninstalled and installed the Anaconda Navigator again and it got fixed.