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• file:资源说明.txt
• file:Coursera深度学习笔记v3.1.pdf
• file:c1_recourses.pdf
• file:Week 02 Introduction to ML Strategy.pptx
• file:Orthogonalization.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 01 Basic Recipe for Machine Learning.pdf
• file:Week 3 Shallow Neural Network.pptx
• file:Week 2 Python and Vectorixation.pptx
• file:Week 2 Logistic Regration as a Neural network.pptx
• file:week 1 Welcome to the Deep Learning Specialization.pptx
• file:2. 采访 Ruslan Salakhutdinov.mkv
• file:1. 采访 Andrej Karpathy.mkv
• file:2.9 什么是端到端的深度学习.mkv
• file:2.8 多任务学习.mkv
• file:2.6 定位数据不匹配.mkv
• file:2.5 不匹配数据划分的偏差和方差.mkv
• file:2.4 在不同的划分上进行训练并测试.mkv
• file:2.3 快速搭建你的第一个系统，并进行迭代.mkv
• file:2.2 清除标注错误的数据.mkv
• file:1.8 为什么是人的表现.mkv
• file:1.7 什么时候该改变开发_测试集和指标.mkv
• file:1.6 开发集合测试集的大小.mkv
• file:1.4 满足和优化指标.mkv
• file:2. 吴恩达采访 林元庆.mkv
• file:1. 吴恩达采访 Yoshua Bengio.mkv
• file:3.9 训练一个 Softmax 分类器.mkv
• file:3.7 测试时的 Batch Norm.mkv
• file:3.6 Batch Norm 为什么奏效？.mkv
• file:3.4 正则化网络的激活函数.mkv
• file:3.3 超参数训练的实践：Pandas VS Caviar.mkv
• file:3.2 为超参数选择合适的范围.mkv
• file:3.11 TensorFlow.mkv
• file:3.10 深度学习框架.mkv