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• file:如何打开jpynb作业文件.pdf
• file:【2.6课件】_inception-network-motivation_C4W2L06_InceptionNetworkMotivation.pptx
• file:2.1 为什么要进行实例探究？.mkv
• file:2.7 Inception 网络.mkv
• file:2.5 网络中的网络以及 1×1 卷积.mkv
• file:2.10 数据扩充.mkv
• file:【2.2课件】_classic-networks_C4W2L02_ClassicNetworks.pptx
• file:2.4 残差网络为什么有用？.mkv
• file:【3.4课件】_convolutional-implementation-of-sliding-windows_C4W3L04_ConvImpSlidingWindows.pptx
• file:第三周quiz小测验.pdf
• file:【3.7课件】_non-max-suppression_C4W3L07_NonmaxSuppression.pptx
• file:3.9 YOLO 算法.mkv
• file:3.8 Anchor Boxes.mkv
• file:【3.1课件】_object-localization_C4W3L01_ObjectLocalization.pptx
• file:3.4 卷积的滑动窗口实现.mkv
• file:4.6 什么是神经风格转换？.mkv
• file:4.9 内容代价函数.mkv
• file:【4.5课件】_face-verification-and-binary-classification_C4W4L05_FaceVerifABinaryClass.pptx
• file:4.3 Siamese 网络.mkv
• file:4.11 一维到三维推广.mkv
• file:【4.2课件】_one-shot-learning_C4W4L02_OneShotLearning.pptx
• file:【4.11课件】_1d-and-3d-generalizations_C4W4L11_1D3DGeneralizations.pptx
• file:【4.10课件】_style-cost-function_C4W4L10_StyleCostFunction.pptx
• file:【4.7课件】_what-are-deep-convnets-learning_C4W4L07_WhatAreDeepCNsLearning.pptx
• file:1.8 简单卷积网络示例.mkv
• file:【1.3课件】_more-edge-detection_C4W1L03_MoreEdgeDetection.pptx
• file:1.3 更多边缘检测内容.mkv
• file:【1.6课件】_convolutions-over-volume_C4W1L06_ConvolutionsOverVolumes.pptx
• file:【1.11课件】_why-convolutions_C4W1L11_WhyConvs.pptx
• file:【1.7课件】_simple-convolutional-network-example_C4W1L08_SimpleCNNExample.pptx
• file:2.3 快速搭建你的第一个系统，并进行迭代.mkv
• file:2.4 在不同的划分上进行训练并测试.mkv
• file:2.2 清除标注错误的数据.mkv
• file:2.5 不匹配数据划分的偏差和方差.mkv
• file:【2.6课件】_addressing-data-mismatch_C3W2L06.pptx
• file:【2.3课件】_build-your-first-system-quickly-then-iterate_C3W2L03.pptx
• file:【2.5课件】_bias-and-variance-with-mismatched-data-distributions_C3W2L05.pptx
• file:【2.7课件】_transfer-learning_Transfer_Learning.pdf
• file:【2.1课件】_carrying-out-error-analysis_C3W2L01.pptx