In a data science project, certain values such as file names, train-test split ratios, and hyperparameters often undergo frequent changes. By using configuration files instead of hard-coding these values, you can achieve better maintainability and flexibility.
Read it!Machine learning is rarely the fundamental enabler of a product, but rather, it often serves as an enhancer.
Read it!Dilated, transposed, and separable convolutions explained with informative animations.
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