Index of /videos/courses/specializations/deep_learning.old/deep-neural-network/02_optimization-algorithms/01_optimization-algorithms

[ICO]NameLast modifiedSizeDescription
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[ ]01_mini-batch-gradient-descent.en.srt2018-03-09 15:22 13K 
[TXT]01_mini-batch-gradient-descent.en.txt2018-03-09 15:22 8.0K 
[VID]01_mini-batch-gradient-descent.mp42018-03-09 15:22 15M 
[ ]01_mini-batch-gradient-descent.zh-CN.srt2018-03-09 15:22 11K 
[TXT]01_mini-batch-gradient-descent.zh-CN.txt2018-03-09 15:22 6.1K 
[ ]01_mini-batch-gradient-descent.zh-TW.srt2018-03-09 15:22 12K 
[TXT]01_mini-batch-gradient-descent.zh-TW.txt2018-03-09 15:22 7.1K 
[ ]01_mini-batch-gradient-descent_C2W2L01.pptx2018-03-09 15:22 314K 
[TXT]02_understanding-mini-batch-gradient-descent.en.srt2018-03-09 15:22 14K 
[TXT]02_understanding-mini-batch-gradient-descent.en.txt2018-03-09 15:22 8.8K 
[VID]02_understanding-mini-batch-gradient-descent.mp42018-03-09 15:22 14M 
[ ]02_understanding-mini-batch-gradient-descent.zh-CN.srt2018-03-09 15:22 12K 
[TXT]02_understanding-mini-batch-gradient-descent.zh-CN.txt2018-03-09 15:22 6.7K 
[ ]02_understanding-mini-batch-gradient-descent.zh-TW.srt2018-03-09 15:22 13K 
[TXT]02_understanding-mini-batch-gradient-descent.zh-TW.txt2018-03-09 15:22 7.9K 
[ ]02_understanding-mini-batch-gradient-descent_C2W2L02.pptx2018-03-09 15:22 314K 
[TXT]03_exponentially-weighted-averages.en.srt2018-03-09 15:22 8.8K 
[TXT]03_exponentially-weighted-averages.en.txt2018-03-09 15:22 5.2K 
[VID]03_exponentially-weighted-averages.mp42018-03-09 15:22 7.6M 
[ ]03_exponentially-weighted-averages.zh-CN.srt2018-03-09 15:22 7.6K 
[TXT]03_exponentially-weighted-averages.zh-CN.txt2018-03-09 15:22 3.9K 
[ ]03_exponentially-weighted-averages.zh-TW.srt2018-03-09 15:22 7.9K 
[TXT]03_exponentially-weighted-averages.zh-TW.txt2018-03-09 15:22 4.2K 
[ ]03_exponentially-weighted-averages_c2w2l03.pptx2018-03-09 15:22 681K 
[TXT]04_understanding-exponentially-weighted-averages.en.srt2018-03-09 15:22 14K 
[TXT]04_understanding-exponentially-weighted-averages.en.txt2018-03-09 15:22 7.8K 
[VID]04_understanding-exponentially-weighted-averages.mp42018-03-09 15:22 12M 
[TXT]04_understanding-exponentially-weighted-averages.zh-CN.srt2018-03-09 15:22 19K 
[TXT]04_understanding-exponentially-weighted-averages.zh-CN.txt2018-03-09 15:22 13K 
[ ]04_understanding-exponentially-weighted-averages.zh-TW.srt2018-03-09 15:22 12K 
[TXT]04_understanding-exponentially-weighted-averages.zh-TW.txt2018-03-09 15:22 6.2K 
[ ]04_understanding-exponentially-weighted-averages_C2W2L03b.pptx2018-03-09 15:23 621K 
[TXT]05_bias-correction-in-exponentially-weighted-averages.en.srt2018-03-09 15:23 5.2K 
[TXT]05_bias-correction-in-exponentially-weighted-averages.en.txt2018-03-09 15:23 3.2K 
[VID]05_bias-correction-in-exponentially-weighted-averages.mp42018-03-09 15:23 6.0M 
[ ]05_bias-correction-in-exponentially-weighted-averages.zh-CN.srt2018-03-09 15:23 4.3K 
[TXT]05_bias-correction-in-exponentially-weighted-averages.zh-CN.txt2018-03-09 15:23 2.2K 
[ ]05_bias-correction-in-exponentially-weighted-averages.zh-TW.srt2018-03-09 15:23 4.8K 
[TXT]05_bias-correction-in-exponentially-weighted-averages.zh-TW.txt2018-03-09 15:23 2.8K 
[ ]05_bias-correction-in-exponentially-weighted-averages_C2W2L04.pptx2018-03-09 15:23 423K 
[TXT]06_gradient-descent-with-momentum.en.srt2018-03-09 15:23 12K 
[TXT]06_gradient-descent-with-momentum.en.txt2018-03-09 15:23 7.8K 
[VID]06_gradient-descent-with-momentum.mp42018-03-09 15:23 12M 
[ ]06_gradient-descent-with-momentum.zh-CN.srt2018-03-09 15:23 9.9K 
[TXT]06_gradient-descent-with-momentum.zh-CN.txt2018-03-09 15:23 5.4K 
[ ]06_gradient-descent-with-momentum.zh-TW.srt2018-03-09 15:23 11K 
[TXT]06_gradient-descent-with-momentum.zh-TW.txt2018-03-09 15:23 6.2K 
[ ]06_gradient-descent-with-momentum_C2W2L05.pptx2018-03-09 15:23 297K 
[TXT]07_rmsprop.en.srt2018-03-09 15:23 9.9K 
[TXT]07_rmsprop.en.txt2018-03-09 15:23 6.3K 
[VID]07_rmsprop.mp42018-03-09 15:23 10M 
[ ]07_rmsprop.zh-CN.srt2018-03-09 15:23 8.4K 
[TXT]07_rmsprop.zh-CN.txt2018-03-09 15:23 4.8K 
[ ]07_rmsprop.zh-TW.srt2018-03-09 15:23 8.8K 
[TXT]07_rmsprop.zh-TW.txt2018-03-09 15:23 5.3K 
[ ]07_rmsprop_C2W2L06.pptx2018-03-09 15:23 181K 
[TXT]08_adam-optimization-algorithm.en.srt2018-03-09 15:23 8.6K 
[TXT]08_adam-optimization-algorithm.en.txt2018-03-09 15:23 5.3K 
[VID]08_adam-optimization-algorithm.mp42018-03-09 15:23 9.4M 
[ ]08_adam-optimization-algorithm.zh-CN.srt2018-03-09 15:23 7.6K 
[TXT]08_adam-optimization-algorithm.zh-CN.txt2018-03-09 15:23 4.3K 
[ ]08_adam-optimization-algorithm.zh-TW.srt2018-03-09 15:23 7.8K 
[TXT]08_adam-optimization-algorithm.zh-TW.txt2018-03-09 15:23 4.5K 
[ ]08_adam-optimization-algorithm_C2W2L07.pptx2018-03-09 15:23 466K 
[TXT]09_learning-rate-decay.en.srt2018-03-09 15:23 9.0K 
[TXT]09_learning-rate-decay.en.txt2018-03-09 15:23 5.5K 
[VID]09_learning-rate-decay.mp42018-03-09 15:23 9.3M 
[ ]09_learning-rate-decay.zh-CN.srt2018-03-09 15:23 8.1K 
[TXT]09_learning-rate-decay.zh-CN.txt2018-03-09 15:23 4.6K 
[ ]09_learning-rate-decay.zh-TW.srt2018-03-09 15:23 8.3K 
[TXT]09_learning-rate-decay.zh-TW.txt2018-03-09 15:23 4.8K 
[ ]09_learning-rate-decay_C2W2L08.pptx2018-03-09 15:23 235K 
[TXT]10_the-problem-of-local-optima.en.srt2018-03-09 15:23 8.3K 
[TXT]10_the-problem-of-local-optima.en.txt2018-03-09 15:23 5.0K 
[VID]10_the-problem-of-local-optima.mp42018-03-09 15:23 6.9M 
[ ]10_the-problem-of-local-optima.zh-CN.srt2018-03-09 15:23 7.2K 
[TXT]10_the-problem-of-local-optima.zh-CN.txt2018-03-09 15:23 3.9K 
[ ]10_the-problem-of-local-optima.zh-TW.srt2018-03-09 15:23 7.4K 
[TXT]10_the-problem-of-local-optima.zh-TW.txt2018-03-09 15:23 4.1K 
[ ]10_the-problem-of-local-optima_C2W2L09.pptx2018-03-09 15:23 867K