PDC4S:\2018-2\Deep Learning Specialization\deep-neural-network\01_practical-aspects-of-deep-learning\03_setting-up-your-optimization-problem

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01_normalizing-inputs.en.srt8 KB12/9/2018 10:09 PM
01_normalizing-inputs.en.txt5 KB12/9/2018 10:09 PM
01_normalizing-inputs.ko.srt10 KB12/9/2018 10:09 PM
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01_normalizing-inputs.mp47,113 KB12/9/2018 10:11 PM
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01_normalizing-inputs.zh-CN.srt7 KB12/9/2018 10:11 PM
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01_normalizing-inputs_C2W1L06.pptx3,378 KB12/9/2018 10:11 PM
02_vanishing-exploding-gradients.en.srt9 KB12/9/2018 10:09 PM
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02_vanishing-exploding-gradients.mp48,419 KB12/9/2018 10:13 PM
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02_vanishing-exploding-gradients_C2W1L07.pptx302 KB12/9/2018 10:09 PM
03_weight-initialization-for-deep-networks.en.srt8 KB12/9/2018 10:09 PM
03_weight-initialization-for-deep-networks.en.txt6 KB12/9/2018 10:09 PM
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03_weight-initialization-for-deep-networks.mp48,072 KB12/9/2018 10:12 PM
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04_numerical-approximation-of-gradients.en.srt9 KB12/9/2018 10:09 PM
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04_numerical-approximation-of-gradients.mp48,522 KB12/9/2018 10:11 PM
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04_numerical-approximation-of-gradients_C2W1L08.pptx305 KB12/9/2018 10:09 PM
05_gradient-checking.en.srt10 KB12/9/2018 10:09 PM
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05_gradient-checking_C2W1L09.pptx314 KB12/9/2018 10:09 PM
06_gradient-checking-implementation-notes.en.srt8 KB12/9/2018 10:09 PM
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06_gradient-checking-implementation-notes.mp47,058 KB12/9/2018 10:11 PM
06_gradient-checking-implementation-notes.zh-CN.srt8 KB12/9/2018 10:09 PM
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