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Until now, you've always used Gradient Descent to update the parameters and minimize the cost. In this notebook, you will learn more advanced optimiza 阅读全文
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Welcome to the final assignment for this week! In this assignment you will learn to implement and use gradient checking. You are part of a team workin 阅读全文
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Welcome to the second assignment of this week. Deep Learning models have so much flexibility and capacity that overfitting can be a serious problem , 阅读全文
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Welcome to the first assignment of "Improving Deep Neural Networks". Training your neural network requires specifying an initial value of the weights. 阅读全文
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When you finish this, you will have finished the last programming assignment of Week 4, and also the last programming assignment of this course! You w 阅读全文
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Welcome to your week 3 programming assignment. It's time to build your first neural network, which will have a hidden layer. You will see a big differ 阅读全文
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Welcome to your first (required) programming assignment! You will build a logistic regression classifier to recognize cats. This assignment will step 阅读全文
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Welcome to your first assignment. This exercise gives you a brief introduction to Python. Even if you've used Python before, this will help familiariz 阅读全文
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Welcome to your week 4 assignment (part 1 of 2)! You have previously trained a 2 layer Neural Network (with a single hidden layer). This week, you wil 阅读全文
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基于用户的协同过滤，基于的假设是：喜欢相同物品的用户具有相似性。相同物品越多，用户相似性越大。（有点基于统计的意思） 基于用户的协同过滤推荐机制和基于人口统计学的推荐机制都是计算用户的相似度，并基于“邻居”用户群计算推荐，但它们所不同的是如何计算用户的相似度，基于人口统计学的机制只考虑用户本身的特征 阅读全文