Which of the following are use cases of machine vision. Select all tha

1.	Which of the following are use cases of machine vision. Select all that apply.
Answer» Operations are nodes that represent the MATHEMATICAL operations over the tensors on a graph. These operations can be any KIND of functions, like add and subtract tensor or maybe an activation function. ALL of these four - tf.constant, tf.matmul, tf.add, tf.nn.sigmoid are operations in TENSORFLOW. These are like functions in python but operate directly over tensors and each ONE does a specific thing. While others are straight forward and SIMPLE, tf.nn.sigmoid is an activation function, it's a little more complicated, but this function helps learning models to evaluate what kind of information is good or not.

Which of the following are use cases of machine vision. Select all that apply.

Answer»

Operations are nodes that represent the MATHEMATICAL operations over the tensors on a graph. These operations can be any KIND of functions, like add and subtract tensor or maybe an activation function.

ALL of these four - tf.constant, tf.matmul, tf.add, tf.nn.sigmoid are operations in TENSORFLOW. These are like functions in python but operate directly over tensors and each ONE does a specific thing.

While others are straight forward and SIMPLE, tf.nn.sigmoid is an activation function, it's a little more complicated, but this function helps learning models to evaluate what kind of information is good or not.

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