- Blogs
- Original paper
Draft
Draft
| package main | |
| import ( | |
| "encoding/hex" | |
| "fmt" | |
| "github.com/btcsuite/btcd/btcec" | |
| ) | |
| func privkeyToPubkey(priv int) int { |
| package main | |
| import ( | |
| "testing" | |
| "github.com/btcsuite/btcd/btcec" | |
| "github.com/btcsuite/btcd/chaincfg" | |
| "github.com/btcsuite/btcd/chaincfg/chainhash" | |
| "github.com/btcsuite/btcd/txscript" | |
| "github.com/btcsuite/btcd/wire" |
| package main | |
| import ( | |
| "testing" | |
| "github.com/btcsuite/btcd/btcec" | |
| "github.com/btcsuite/btcd/chaincfg" | |
| "github.com/btcsuite/btcd/chaincfg/chainhash" | |
| "github.com/btcsuite/btcd/txscript" | |
| "github.com/btcsuite/btcd/wire" |
| // main.rs | |
| mod request; | |
| use request::request; | |
| fn main() { | |
| match request() { | |
| Ok(text) => println!("{}", text), | |
| Err(err) => println!("{}", err) | |
| } |
| import tensorflow as tf | |
| # model1 | |
| def model1_fn(inputs, labels, learning_rate=0.001): | |
| preds = tf.layers.dense(inputs, 1) | |
| cost = tf.losses.mean_squared_error(labels, preds) | |
| optimizer = tf.train.GradientDescentOptimizer(learning_rate).minimize(cost) | |
| return optimizer, cost, preds | |
| # model2 |
| var reactionImageUrls = {'angry': 'http://url.com/', 'wow': 'http://url.com/'}; | |
| firebase.database().ref('Points').once('value', function(points) { | |
| points.forEach(function(point) { | |
| var location = data.val().Location; | |
| var reaction = data.val().Reaction; | |
| imageUrl = reactionImageUrls[reaction]; | |
| // display a point |
| git clone https://github.com/Jwata/tensorflow-pet-detector-quickstart | |
| cd tensorflow-pet-detector-quickstart |