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[pl] cs-229-machine-learning-tips-and-tricks, cs-229-deep-learning, cs-229-supervised-learning #8
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Machine learning - done |
Machine learning - done |
Incredible job, keep up the great work! |
Machine learning - done @shervinea pls tag with 'reviewer wanted' |
@abecadel thanks a lot for your hard work! One last thing before the reviews: a few questions have been added since you created the |
@shervinea done |
Perfect, thanks @abecadel! Now, let's start the review process. |
# Conflicts: # CONTRIBUTORS # README.md
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few typos
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**22. Batch normalization ― It is a step of hyperparameter γ,β that normalizes the batch {xi}. By noting μB,σ2B the mean and variance of that we want to correct to the batch, it is done as follows:** | ||
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⟶ Normalizacja pakietu (Batch normalization) ― Jest to krok w którym hiperparametry γ,β są wykorzystywane do normalizacji pakietu {xi}. Zauważając, że μB to średnia, a σ2B to wariancja, to normalizacja pakiet wygląda następująca: |
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129 (...) "to normalizacja pakiet wygląda następująca" -> should be: to normalizacja pakietu wygląda następująco:
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**27. [Write to cell or not?, Erase a cell or not?, How much to write to cell?, How much to reveal cell?]** | ||
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⟶ [Pisać do komórki, czy nie?, Wyczyścić komówke, czy nie?, Jak dużo zapisać do komórki?, Jak dużo ujawnić komórce?] |
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159 should be without redundant punctuation marks, eg. (...) czy nie? Wyczyścić (...), not "czy nie?, Wyczyścić" ["," after "?"] etc.
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**16. Step 2: Perform forward propagation to obtain the corresponding loss.** | ||
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⟶ Krok 2: dokonaj propagacji do przodu aby uzyskać wartość straty. |
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small typo -> "," before "aby"
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**18. Step 4: Use the gradients to update the weights of the network.** | ||
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⟶ Krok 4: Wykorzystaj gradient aby zaktualizować wagi w sieci neuronowej. |
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the same
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**46. Maximum likelihood estimate ― The maximum likelihood estimates for the state transition probabilities are as follows:** | ||
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⟶ Szacowanie maksymalnego prawdopodobieństwa - Szacowanie maksymalnego prawdopodobieństwo dla poszczególnych przejść pomiędzy stanami wygląda następująco: |
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small typo - "Szacowanie maksymalnego prawdopodobieństwo" should be: Szacowanie maksymalnego prawdopodobieństwa
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**54. [Reinforcement learning, Markov decision processes, Value/policy iteration, Approximate dynamic programming, Policy search]** | ||
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⟶ [Uczenie wspoagane, Proces decyzyjny Markowa, Iteracja wartość/strategia, Przybliżone programowanie dynamiczne, Wyszukiwanie strategii] |
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small typo -> should be: Uczenie wspomagane
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