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We use an easier way to reduce the complexity of the programs for beginners who study machine learning. Therefore, we hope it can be easier to understand and implement the multi-layer computation of backpropagation.

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PoLun-Wang/DL_practice_logistic_regression

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Deep Learning practice - Logistic Regression

References

  • "Neural Networks and Deep Learning" on Coursera.

Programs

2-Layer Logistic Regression: Cat classifier

  • File: logistic_regression_2-layer.ipynb

n-Layer Logistic Regression: Cat classifier

  • File: logistic_regression_N-layer.ipynb

How to use?

  • Just fork to your own github or download this repository directly. And run the jupyter file I just mentioned in the "Programs" section.

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We use an easier way to reduce the complexity of the programs for beginners who study machine learning. Therefore, we hope it can be easier to understand and implement the multi-layer computation of backpropagation.

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