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a quick exercise to practice gradient descent
I am following your tutorial on ML beginner. Fantastic stuff! You did a great job. Cross Entropy Loss, Gradiente Descent and so on.
I am writing my Python code in parallel (thanks for suggesting you code).
I realized that you are not consistent from module to module. Sometimes you warn about this and I correct immediately my code (e.g. from step activation to sigmoid) sometime you don't. I was going crazy since my values of loss were different from yours when I realized that y_target[0] was 1 in the previous module and became 0 in the gradient descent module.
Just a suggestion in case you should come out with a renovated version of the tutorials, maintain consistency through modules. If you want I can cross check for you.
My name is Alessandro Cagnola, Italy, [email protected].
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