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This post covers my key takeaways from Stanford's CS231n (2016) Lecture 2 by Andrej Karpathy.
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Problem: https://www.hackerrank.com/challenges/30-binary-numbers The requirement is to convert an integer and convert to a binary number format where we can get the maximum length of number of 1's.
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Before the Transformer boom, the neural networks was the new hype which was based on the human brain's neuron power and overall capability.
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This is my understanding of HackerRank Python question: Python - List Comprehension The idea is to provide an array of all possible combinations of [i, j, k] for the dimensions of a cuboid, however the sum of the array should not be equal to n.
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Linear regression is a fundamental concept in machine learning.
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The purpose of the gradient descent is to minimize the function.