今天看到了抖音中的一位人物介紹莫秆，我才認(rèn)識(shí)了中國芯片之母黃令儀盒卸。 黃令儀1936年生整份，北京人，現(xiàn)為龍芯中科的研究員雨让，畢業(yè)于華中工學(xué)院(今華中科技大學(xué))。 黃令儀院士。在抗戰(zhàn)中長...
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中國芯片之母 -
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win10+ubuntu16.04雙系統(tǒng)制作這里說明的是一個(gè)u盤只能裝一個(gè)系統(tǒng)盤 1. ubuntu16.04系統(tǒng)盤制作 鏡像 ubuntu-16.04.6-desktop-amd64.iso 下載将饺。 在 rufus官...
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conda常用命令
1.創(chuàng)建新環(huán)境 conda create -n 環(huán)境名 python=3.6 2.刪除一個(gè)環(huán)境 conda remove -n 環(huán)境名 --all 3.重新命名的方法 con...
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每次生病都會(huì)想多
近十年贡避，死亡是我思考特別多的話題 10年，因傷準(zhǔn)備腰部手術(shù)予弧，我在手術(shù)前一晚退宿了刮吧，最近方式手術(shù)，選擇保守治療掖蛤，但那段時(shí)間杀捻，心中長期被絕望和恐懼占據(jù)，通過保守治療和微創(chuàng)蚓庭，再加上...
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【機(jī)器學(xué)習(xí)】-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(jī)器學(xué)習(xí)】-Week5.6 Putting it TogetherFirst, pick a network architecture; choose the layout of your neural network, including...
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【機(jī)器學(xué)習(xí)】-Week5.5 Random InitializationInitializing all theta weights to zero does not work with neural networks. When we back...
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【機(jī)器學(xué)習(xí)】-Week5.5 Gradient Checking
Gradient Checking Gradient checking will assure that our backpropagation works as inten...
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【機(jī)器學(xué)習(xí)】-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(jī)器學(xué)習(xí)】-Week5.3 Backpropagation IntuitionRecall that the cost function for a neural network is: If we consider simple non-multic...
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【機(jī)器學(xué)習(xí)】-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(jī)器學(xué)習(xí)】-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(jī)器學(xué)習(xí)】-Week4.5 Multiclass ClassificationMulticlass Classification To classify data into multiple classes, we let our hypothesis...
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【機(jī)器學(xué)習(xí)】-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(jī)器學(xué)習(xí)】-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(jī)器學(xué)習(xí)】-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(jī)器學(xué)習(xí)】-Week4.1 Model Representation IModel Representation I Let's examine how we will represent a hypothesis function using ...
