今天看到了抖音中的一位人物介紹，我才認識了中國芯片之母黃令儀。 黃令儀1936年生，北京人，現(xiàn)為龍芯中科的研究員，畢業(yè)于華中工學院(今華中科技大學)。 黃令儀院士。在抗戰(zhàn)中長...
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win10+ubuntu16.04雙系統(tǒng)制作這里說明的是一個u盤只能裝一個系統(tǒng)盤 1. ubuntu16.04系統(tǒng)盤制作 鏡像 ubuntu-16.04.6-desktop-amd64.iso 下載。 在 rufus官...
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【機器學習】-Week6.1 Evaluating a Hypothesis
Once we have done some trouble shooting for errors in our predictions by: Getting more ...
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【機器學習】-Week5.6 Putting it TogetherFirst, pick a network architecture; choose the layout of your neural network, including...
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【機器學習】-Week5.5 Random InitializationInitializing all theta weights to zero does not work with neural networks. When we back...
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【機器學習】-Week5.5 Gradient Checking
Gradient Checking Gradient checking will assure that our backpropagation works as inten...
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【機器學習】-Week5.4 Implementation Note: Unrolling Parameters
With neural networks, we are working with sets of matrices: In order to use optimizing ...
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【機器學習】-Week5.3 Backpropagation IntuitionRecall that the cost function for a neural network is: If we consider simple non-multic...
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【機器學習】-Week5.2 Backpropagation Algorithm （神經(jīng)網(wǎng)絡(luò)）Backpropagation Algorithm "Backpropagation" is neural-network terminology for minimizin...
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【機器學習】-Week5.1 Cost Function （神經(jīng)網(wǎng)絡(luò)）
Cost Function Let's first define a few variables that we will need to use: L = total nu...
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【機器學習】-Week4.5 Multiclass ClassificationMulticlass Classification To classify data into multiple classes, we let our hypothesis...
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【機器學習】-Week4.4 Examples and Intuitions IIExamples and Intuitions II TheΘ(1)matrices for AND, NOR(Not x1 and Not x2), and OR are:...
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【機器學習】-Week4.3 Examples and Intuitions I
Examples and Intuitions I A simple example of applying neural networks is by predicting...
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【機器學習】-Week4.2 Model Representation II
Model Representation II To re-iterate, the following is an example of a neural network:...
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【機器學習】-Week4.1 Model Representation IModel Representation I Let's examine how we will represent a hypothesis function using ...
