In this video, you'll learn how to implement vectorization in Python, and how vectorization makes faster computation. Python Numpy module is used for vectorization in Python. Firstly, we'll implement the dot product using vectorized and non-vectorized methods and calculate the time difference. Secondly, we'll implement the sigmoid activation function which is the base of deep learning. Finally, we'll make a time-complexity graph of both methods.
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