simple linear regressor that try to approximate a simple function deployed in tensorflow 2.0 whithout keras
WRITTEN BY MOHAMMAD ASADOLAHI
Mohammad.E.Asadolahi@gmail.com
https://github.com/mohammadAsadolahi
https://www.linkedin.com/in/mohammadasadolahi
to do: deploy a simpller version whithout tensorflow and another version with keras
to do: use a regression dataset and test the model
(<tf.Variable 'Variable:0' shape=(10, 1) dtype=float32, numpy=
array([[ 0.68809956],
[ 0.23739405],
[ 0.99913424],
[ 0.2658 ],
[ 1.3917546 ],
[ 0.09786515],
[-0.4495175 ],
[-0.4142065 ],
[ 0.4129479 ],
[-0.05248658]], dtype=float32)>,
<tf.Variable 'Variable:0' shape=(1,) dtype=float32, numpy=array([5.763193], dtype=float32)>)
approximate of 10 and 20 that should be 37(103+7) and 67(203+7)
approximation of function is : 37.531044 and 69.2989
<tf.Tensor: shape=(2,), dtype=float32, numpy=array([37.531044, 69.2989 ], dtype=float32)>
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