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1.1 Train/dev/test sets 在构建一个神经网络的时候我们往往需要设计很多参数,如:layers,learning rates ,acivation functions,hidden units, 而这些参数我们往往不能一次性就能设计到成为了最佳的参数,往往是我们自己有一些想法,然 阅读全文
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Deep Neural Network for Image Classification: Application¶ When you finish this, you will have finished the last programming assignment of Week 4, and 阅读全文
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import h5py import matplotlib.pyplot as plt from testCases import * from dnn_utils import sigmoid, sigmoid_backward, relu, relu_backward plt.rcParams[ 阅读全文
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What is the “cache” used for in our implementation of forward propagation and backward propagation? [ ] It is used to cache the intermediate values of 阅读全文
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之前一章讲了 浅层神经网络,这一章讲的是深层神经网络 深层神经网络与浅层神经网络的区别是:隐藏层比浅层神经网络多,从命名规则上来说,有1,2,5个隐藏层的神经网络可以称为1 hidden layer,2 hidden layers,5 hidden layers 深层神经网络中的正向传播与之前举例的 阅读全文
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Planar data classification with one hidden layer Welcome to your week 3 programming assignment. It's time to build your first neural network, which wi 阅读全文
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Week 3 Quiz - Shallow Neural Networks Which of the following are true? (Check all that apply.) Notice that I only list correct options. X is a matrix 阅读全文
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第二章总结了二分分类与逻辑回归,第三章关于浅层神经网络 神经网络的结构与逻辑回归类似,只是神经网络的层数比逻辑回归多了一层,多出的中间一层叫隐藏层,那么,神经网络的计算就相当于多进行一次逻辑回归的计算 正向传播过程分成两层,第一层是输入层到隐藏层,用上标[1]来表示:第二层是隐藏层到输出层,用上标[ 阅读全文
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Logistic Regression with a Neural Network mindset Welcome to your first (required) programming assignment! You will build a logistic regression classi 阅读全文
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coursea链接:https://www.coursera.org/learn/neural-networks-deep-learning/notebook/Zh0CU/python-basics-with-numpy-optionalhttps://www.coursera.org/learn/ 阅读全文