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// Fork & examples for the one-line version by @vladimir-ivanov: | |
//let softmax = (arr) => (index) => Math.exp(arr[index]) / arr.map(y => Math.exp(y)).reduce((a, b) => a + b); | |
// | |
// Also see comments for improvements | |
function softmax(arr) { | |
return arr.map(function(value,index) { | |
return Math.exp(value) / arr.map( function(y /*value*/){ return Math.exp(y) } ).reduce( function(a,b){ return a+b }) | |
}) | |
} |
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<script> | |
export default { | |
name: 'VSelectFile', | |
model: { | |
prop: 'value', | |
event: 'change' | |
}, | |
props: { | |
label: { | |
type: String, |
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// MIT License | |
// Copyright (c) 2023 Max Rogério | |
// Permission is hereby granted, free of charge, to any person obtaining a copy | |
// of this software and associated documentation files (the "Software"), to deal | |
// in the Software without restriction, including without limitation the rights | |
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
// copies of the Software, and to permit persons to whom the Software is | |
// furnished to do so, subject to the following conditions: |
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//--------------------------------------------------- | |
//setup | |
var dModel = 256; //dimension of embedding | |
var INPUTSIZE = 1024; //length of input | |
var BLOCKS = 3; | |
var LEARNING_RATE = 0.003; | |
var OPTIMIZER = tf.train.adam(LEARNING_RATE, beta_1 = 0.85, beta_2 = 0.9, epsilon = 1e-9); | |
var LOSS = 'categoricalCrossentropy'; | |
var INITIALIZER = 'GlorotUniform'; |
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**As a developer you have complete control over the signup and signin functionality...** | |
```shell | |
$ surreal sql --conn http://localhost:8000 --user root --pass root --ns test --db test | |
``` | |
```sql | |
-- optional : this is the default see --ns test --db test start server flags | |
-- USE NS test DB test; |