CNN convolution kernels are not hardcoded. They are learnt and optimized via backpropagation. You just specify their size! Example in PyTorch you'd do just:
nn.Conv2d(1, 6, kernel_size=(5, 5))
as used for example at: activatedgeek/LeNet-5.
This can also be inferred from: stackoverflow.com/questions/55594969/how-to-visualise-filters-in-a-cnn-with-pytorch where we see that the kernels are not perfectly regular as you'd expected from something hand coded.
CNOT gate Updated 2025-07-16
The CNOT gate is a controlled quantum gate that operates on two qubits, flipping the second (operand) qubit if the first (control) qubit is set.
This gate is the first example of a controlled quantum gate that you should study.
To understand why the gate is called a CNOT gate, you should think as follows.
First let's produce a generic quantum state vector where the control qubit is certain to be 0.
On the standard basis:
we see that this means that only and should be possible. Therefore, the state must be of the form:
where and are two complex numbers such that
If we operate the CNOT gate on that state, we obtain:
and so the input is unchanged as desired, because the control qubit is 0.
If however we take only states where the control qubit is for sure 1:
Therefore, in that case, what happened is that the probabilities of and were swapped from and to and respectively, which is exactly what the quantum NOT gate does.
So from this we understand more concretely what "the gate only operates if the first qubit is set to one" means.
Now go and study the Bell state and understand intuitively how this gate is used to produce it.
Cocaine Updated 2025-07-16
COCO 2017 Updated 2025-07-16
This is the one used on MLperf v2.1 ResNet, likely one of the most popular choices out there.
2017 challenge subset:
COCO dataset Updated 2025-07-16
From cocodataset.org/:
  • 330K images (>200K labeled)
  • 1.5 million object instances
  • 80 object categories
  • 91 stuff categories
  • 5 captions per image. A caption is a short textual description of the image.
So they have relatively few object labels, but their focus seems to be putting a bunch of objects on the same image. E.g. they have 13 cat plus pizza photos. Searching for such weird combinations is kind of fun.
Their official dataset explorer is actually good: cocodataset.org/#explore
And the objects don't just have bounding boxes, but detailed polygons.
Also, images have captions describing the relation between objects:
a black and white cat standing on a table next to a pizza.
Epic.
This dataset is kind of cool.
Cocos2d Updated 2025-07-16
Ciro Santilli considered this as the basis for Ciro's 2D reinforcement learning games, but ultimately decided it was a bit too messy. Nice overall though.
COCO subset Updated 2025-07-16
Codaisseur/feathersjs-react-redux-ssr Updated 2025-07-16
Also webpack and Babel, looks promising!
As of 2021, last commit from 2017.
Running:
git clone https://github.com/Codaisseur/feathersjs-react-redux-ssr
cd feathersjs-react-redux-ssr
npm install
failed on Ubuntu 20.10 Node.js v14.15.3 with:
../src/create_string.cpp:17:37: error: no matching function for call to ‘v8::String::Utf8Value::Utf8Value(v8::Local<v8::Value>&)’
   17 |   v8::String::Utf8Value string(value);
      |                                     ^
Likely similar bullshit from: stackoverflow.com/questions/50111688/node-sqlite-node-gyp-build-error-no-member-named-forceset-in-v8object because the Node.js version is too new.
If I try nvm install v10
I Google error messages until reaching:
diff --git a/gulpfile.js b/gulpfile.js
index b931e06..24d2cc8 100644
--- a/gulpfile.js
+++ b/gulpfile.js
@@ -14,34 +14,34 @@ gulp.task('css', function() {
            .pipe(gulp.dest('./dist'))
 })
 
-gulp.task('css:watch', ['css'], function() {
+gulp.task('css:watch', gulp.series('css', function() {
   gulp.watch('app/styles/**/*.sass', ['css'])
-})
+}))
 
 gulp.task('moveAssets', function() {
   return gulp.src('./app/assets/**/*')
              .pipe(gulp.dest('./dist/assets'))
 })
 
-gulp.task('build:revAssets', ['css', 'moveAssets'], function() {
+gulp.task('build:revAssets', gulp.series('css', 'moveAssets', function() {
   var rev = new $.revAll()
   return gulp.src('./dist/**/*')
              .pipe(rev.revision())
              .pipe(gulp.dest('./dist/public'))
              .pipe(rev.manifestFile())
              .pipe(gulp.dest('./dist'))
-})
+}))
 
 gulp.task('build:cpServer', function() {
   return gulp.src('./app/**/*.{js,ejs}')
              .pipe(gulp.dest('./dist/server-build'))
 })
-gulp.task('build:revServer', ['build:cpServer'], function() {
+gulp.task('build:revServer', gulp.series('build:cpServer', function() {
   var manifest = gulp.src('./dist/rev-manifest.json')
   return gulp.src('./dist/server-build/{components,containers}/**/*')
              .pipe($.revReplace({ manifest: manifest }))
              .pipe(gulp.dest('./dist/server-build'))
-})
+}))
 
 gulp.task('build', function() {
   runSequence('build:revAssets', 'build:revServer')
diff --git a/package.json b/package.json
index bcb29c3..86bd593 100644
--- a/package.json
+++ b/package.json
@@ -67,7 +67,7 @@
     "redux-thunk": "^0.1.0",
     "request": "^2.79.0",
     "rewire": "^2.3.4",
-    "run-sequence": "^1.2.2",
+    "run-sequence": "^2.2.1",
     "serve-favicon": "^2.3.2",
     "socket.io-client": "^1.7.2",
     "superagent": "^1.4.0",
@@ -86,16 +86,16 @@
     "concurrently": "^2.0.0",
     "cross-env": "^1.0.7",
     "enzyme": "^2.3.0",
-    "gulp": "^3.9.0",
+    "gulp": "^4.0.2",
     "gulp-autoprefixer": "^3.1.0",
     "gulp-load-plugins": "^1.2.0",
     "gulp-rev": "^6.0.1",
-    "gulp-sass": "^2.1.1",
+    "gulp-sass": "4.1.0",
     "gulp-sourcemaps": "^1.6.0",
     "jsdom": "^7.0.1",
     "mocha": "^2.4.5",
     "nock": "^2.17.0",
-    "node-sass": "^3.4.2",
+    "node-sass": "^5.0.0",
     "nodemon": "^1.6.0",
     "react-addons-test-utils": "^15.3.2",
     "react-transform-catch-errors": "^1.0.0",
and the next problem is: stackoverflow.com/questions/48513573/gulp-error-gulp-hastask-is-not-a-function
Code drop Updated 2025-07-16
Open source development model in which developers develop in private, and only release code to the public during releases.
Notable example project: Android Open Source Project.
This development model basically makes reporting bugs and sending patches a waste of time, because many of them will already have been solved, which is why this development model is evil.
Code golf Updated 2025-07-16
Codomain Updated 2025-07-16
Vs: image: the codomain is the set that the function might reach.
The image is the exact set that it actually reaches.
E.g. the function:
could have:
Note that the definition of the codomain is somewhat arbitrary, e.g. could as well technically have codomain:
even though it will obviously never reach any value in .
The exact image is in general therefore harder to characterize.
Codon Updated 2025-07-16
Cody'sLab Updated 2025-07-16
This dude is mind blowing. Big respect.
Some of the most impressive videos are the ones in which he goes and extracts metals from minerals himself all the way.
But God, the typography of the channel name is so insane! Why no space???
Shame the academic system wasn't compatible with him: www.reddit.com/r/codyslab/comments/f5531p/codys_qualifications/ Maybe there were safety issues involved though.
Video 1.
What's Been Going On With Cody'sLab? by Cody'sLab (2019)
Source. Cody opening up about some issues he's having life. Notably: being naughty and creative are correlated.
Coherence time Updated 2025-07-16
It takes time for the quantum state to evolve. So in order to have a deep quantum circuit, we need longer coherence times.
Coinbase Bitcoin hello world Updated 2025-07-16
Test buy 2023-04-10 in the UK:
  • fee: 0.99 pounds, minimum buy: 1.99 pounds
  • bought 10 pounds, minus 0.99 fee, totalled: 0.00039162 BTC (£8.92) presumably after further fees/spread
  • bitcoin price on Google on that day: 22,777.54 GBP / BTC
  • bitcoin transaction fees were about 2.7 BTC on that day
Sending 5 pounds to wallet 12dg2FaiZLp3VzDtLvwPinaKz41TQcEGbs
  • network fee: 0.00001989 BTC
  • total bitcoin cost: -0.00023928 BTC
  • new balance: 15,234 satoshi (39,162 - 23,928).
  • total spent: £5.45
  • time est.: about 30 minutes
This worked and I received 21939 satoshis (23928 - 1989) on Electrum on one of the outputs of transaction 1177268091cbeaacbcaac5dc4f6d1774c4ec11b4bcffafa555cd2775eafb954c.
Sending 1 satoshi back! The lowest fee in Electron is 1120 Satoshis targeting 25 blocks (4 hours). Let's do it. Failed, server forbids dust, minimum is 1000 satoshi. OK, sending 1000 satoshi, at 1139 fee.
CoinGeek Updated 2025-07-16
news.ycombinator.com/item?id=14691623
CoinGeek is either run by or paid for by Craig Wright. You can see that all of the articles are either strongly in his favor or in line with his recent opinions.
ColdQuanta Updated 2025-07-16
Not a quantum computing pure-play, they also do sensing.

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