80网盘电影搜索

网盘分享文件
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视频-8 - 3 - model representation i (12 min).mkv 2017-09-07
视频-9 - 2 - backpropagation algorithm (12 min).mkv 2017-09-07
视频-12 - 6 - using an svm (21 min).mkv 2017-09-07
视频-9 - 5 - gradient checking (12 min).mkv 2017-09-07
视频-15 - 3 - algorithm (12 min).mkv 2017-09-07
视频-12 - 4 - kernels i (16 min).mkv 2017-09-07
视频-12 - 1 - optimization objective (15 min).mkv 2017-09-07
视频-15 - 6 - choosing what features to use (12 min).mkv 2017-09-07
视频-2 - 6 - gradient descent intuition (12 min).mkv 2017-09-07
视频-12 - 5 - kernels ii (16 min).mkv 2017-09-07
视频-8 - 4 - model representation ii (12 min).mkv 2017-09-07
视频-12 - 2 - large margin intuition (11 min).mkv 2017-09-07
视频-2 - 7 - gradientdescentforlinearregression (6 min).mkv 2017-09-07
视频-2 - 8 - what_'s next (6 min).mkv 2017-09-07
视频-6 - 1 - classification (8 min).mkv 2017-09-07
视频-17 - 4 - stochastic gradient descent convergence (12 min).mkv 2017-09-07
视频-12 - 3 - mathematics behind large margin classification (optional) (20 min).mkv 2017-09-07
视频-4 - 1 - multiple features (8 min).mkv 2017-09-07
视频-8 - 2 - neurons and the brain (8 min).mkv 2017-09-07
视频-5 - 2 - moving data around (16 min).mkv 2017-09-07
视频-3 - 1 - matrices and vectors (9 min).mkv 2017-09-07
视频-9 - 1 - cost function (7 min).mkv 2017-09-07
视频-2 - 2 - cost function (8 min).mkv 2017-09-07
视频-5 - 6 - vectorization (14 min).mkv 2017-09-07
视频-9 - 8 - autonomous driving (7 min).mkv 2017-09-07
视频-9 - 7 - putting it together (14 min).mkv 2017-09-07
视频-8 - 7 - multiclass classification (4 min).mkv 2017-09-07
视频-6 - 2 - hypothesis representation (7 min).mkv 2017-09-07
视频-2 - 1 - model representation (8 min).mkv 2017-09-07
视频-9 - 6 - random initialization (7 min).mkv 2017-09-07

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