andrewekhalel / mlquestions Goto Github PK
View Code? Open in Web Editor NEWMachine Learning and Computer Vision Engineer - Technical Interview Questions
mlquestions's People
Stargazers
Watchers
Forkers
areeberg faisalshahbaz yang3122 creageng jxhhl jawadbappy liqunchen0606 nidhaloff santhoshsthanikam coding-geeks makarovartyom sainiudit shyam1234 connoisseures shaz13 hieptran1812 talk2jaydip ishumann dkryadav mrsahabu sergeyfitts sparkzy kritchie cdrectenwald manojbhat09 duke-chua leo23 kuan-li chao-zhang-pku paulestano hivewang haohe0202 thethreebodyproblem alexsfwu oafolabi mohamedsondo ankitpt langzippkk vnesh-san miaz1993 lucianzhong const-yield sakshamj74 rbackupx judepark96 chiranjibsuruf e-hu pratikchhapolika allenmao madfalc0n swagatd agardner ajitsarkaar yagyanshbhatia shantanuhadap afghani-iitkgp anupamarajkumar el-do-rado roshini221991 wstcliyu sbsreedh zorrock beingkartik jawwadsabir adityamainkar odn81hc omkarraut123 shubhankitsudhakar jarygrace erkanhatipoglu majia1949 jerry6coding ruiwen0615 rxx1229 mayukitan kubecoin mahfujur1 kapitsa2811 spendyala liuhz0926 aideveloper-oz hjeffreywang zhouxf53 b2bda ruchibor sara-kassani olivier222 stanleefdz tanay0nspark sambid9988 deblinaml sumit1673 dwaraka007 kingspencer kuangzhengli sandeeppanda22 yunghx mayankrajk1 kckishan mayank3aj3769mlquestions's Issues
Issue with Question 23. What makes CNNs translation invariant?
The answer to this question is somewhat incorrect. In particular, the convolution operator only has the translational equivariance property. In this case, several factors that can constitute the translational invariance property of CNNs. We could argue that the translational invariance is due to the usage of pooling layers which downsamples the feature maps and thus makes the model less sensitive to small translations. Or, data augmentation helps the model learn to be more robust to positional displacements. Ultimately, CNNs are not translational invariant by design, see this paper.
Answers Swapped for 46 and 47
-
What are dropouts? [src]
Long Short Term Memory – are explicitly designed to address the long term dependency problem, by maintaining a state what to remember and what to forget. -
Define LSTM. [src]
As we add more and more hidden layers, back propagation becomes less and less useful in passing information to the lower layers. In effect, as information is passed back, the gradients begin to vanish and become small relative to the weights of the networks.
Answers are swapped between these ^^
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.