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• file:c1_recourses.pdf
• file:Coursera深度学习笔记v3.1.pdf
• file:资源说明.txt
• file:week 01 Basic Recipe for Machine Learning.pdf
• file:Week 03 Hyperparameter tuning.pptx
• file:week 02 Optimization algorithms.pptx
• file:week 01 Setting up your Machine Learning Application.pptx
• file:Week 02 Introduction to ML Strategy.pptx
• file:Orthogonalization.pdf
• file:Week 04 Deep Neural Network.pptx
• file:Week 2 Logistic Regration as a Neural network.pptx
• file:Week 2 Python and Vectorixation.pptx
• file:week 1 Welcome to the Deep Learning Specialization.pptx
• file:1.5 为什么正则化可以减少过拟合？.mkv
• file:1.4 正则化.mkv
• file:1.14 关于梯度检验实现的注记.mkv
• file:1.11 神经网络的权重初始化.mkv
• file:1.10 梯度消失与梯度爆炸.mkv
• file:1.1 训练_开发_测试集.mkv
• file:3.11 TensorFlow.mkv
• file:3.2 为超参数选择合适的范围.mkv
• file:3.5 将 Batch Norm 拟合进神经网络.mkv
• file:3.3 超参数训练的实践：Pandas VS Caviar.mkv
• file:3.9 训练一个 Softmax 分类器.mkv
• file:2.4 理解指数加权平均.mkv
• file:2.1 Mini-batch 梯度下降法.mkv
• file:2.6 动量梯度下降法.mkv
• file:2.7 RMSprop.mkv
• file:2.8 Adam 优化算法.mkv
• file:2.10 局部最优的问题.mkv
• file:1. 吴恩达采访 Yoshua Bengio.mkv
• file:2. 吴恩达采访 林元庆.mkv