Shin Kyung-sik's Deep Learning - Gradient-based Linear Regression (2)
This is a lecture on implementing practical code using PyTorch features based on the code directly implemented in Gradient-based Linear Regression (1). Additionally, it's a lecture where you'll theoretically learn about the necessity of data preprocessing, its theory, and its impact on learning, and implement it with practical code.
์ ๋ฌธ
Deep Learning(DL), PyTorch, gradient-descent





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