Why you should replace for-loop with Vectorization ?
Vectorization is a method to make code efficient without for-loops. In deep learning , code gets much faster if we vectorized our code.
Vectorized operations in NumPy are optimized with C and follow the parallelism process. But for-loop may or may not have to deal with heterogeneous data.So , it is slower in python. There are other reasons also , check that on the blog. Link is given below.
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