floodsung/Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Pythondeep-learning
This is stars and forks stats for /floodsung/Deep-Learning-Papers-Reading-Roadmap repository. As of 28 Apr, 2024 this repository has 36432 stars and 7333 forks.

Deep Learning Papers Reading Roadmap If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?" Here is a reading roadmap of Deep Learning papers! The roadmap is constructed in accordance with the following four guidelines: From outline to detail From old to state-of-the-art from generic to specific areas focus on state-of-the-art You will find many papers that are quite new but really worth reading. I would continue adding papers...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
rev1si0n/another-tmp-mailboxPythonJavaScriptHTML2130620
redelka00/stream-cliPythonShell4060270
google-research/big_visionJupyter NotebookPythonTypeScript1k+1773+1
healthchecks/healthchecksPythonHTMLLess6.6k07280
zalando/patroniPythonGherkinOther5.8k+37774+7
HarbourJ/TempJavaScriptPython9501470
couchbase/tlmCMakeShellPython360480
ethz-asl/libsbp_catkinCMakePython0010
coreos/coreos-layering-examplesDockerfilePythonGo720210
ecmwf/fckitFortranPythonC++280100