BenjaminWegener

conda install keras=1.0.7 -c conda-forge
OR
conda install keras=2.0.9 -c conda-forge

BenjaminWegener

install termux from play store or aptoide

termux-setup-storage
pkg install cmake git libuv* openssl-dev unstable-repo -y
pkg install libmicrohttpd-dev -y
git clone https://github.com/xmrig/xmrig
cd xmrig && mkdir build && cd build
cmake ..
make
cp xmrig ..

BenjaminWegener

termux-setup-storage

pkg install wget openssl-tool proot -y && hash -r && wget https://raw.githubusercontent.com/EXALAB/AnLinux-Resources/master/Scripts/Installer/Debian/debian.sh && bash debian.sh

./start-debian.sh

wget https://raw.githubusercontent.com/EXALAB/AnLinux-Resources/master/Scripts/DesktopEnvironment/Apt/Xfce4/de-apt-xfce4.sh && bash de-apt-xfce4.sh

BenjaminWegener

pkg install wget openssl-tool proot tar -y && hash -r && wget https://raw.githubusercontent.com/EXALAB/AnLinux-Resources/master/Scripts/Installer/Arch/armhf/arch.sh && bash arch.sh

pacman -Sy --noconfirm wget && wget https://raw.githubusercontent.com/EXALAB/AnLinux-Resources/master/Scripts/DesktopEnvironment/Pacman/de-pac.sh && bash de-pac.sh

BenjaminWegener

def sub_pixel_conv(inputs, height, width, out_channels): #keras version of 2x pixel shuffle
    x = inputs
    x = SeparableConv2D(out_channels * 4, kernel_size = 9, depth_multiplier = 1, activation = 'tanh', padding = 'same')(x)
    x = Reshape((height, width, out_channels, 2, 2))(x)
    x = Permute((3, 2, 4, 1, 5))(x)
    x = Reshape((out_channels, height * 2, height * 2))(x)
    x = Permute((2, 3, 1))(x)
    return x

BenjaminWegener

javascript:(function(){
console.log("Working"); 
document.querySelector("colab-toolbar-button#connect").click() 
}.setInterval(60000))

BenjaminWegener

var assert = require( 'assert' );



function findFrequentBigram( s ) {
    var i, freqs = {}, topFreq = 0, topPair = null, bigram;

    for ( i = 0; i < s.length; i += 2 ) {
        bigram = s.slice( i, i + 2 );
        freq = ++freqs[bigram];

BenjaminWegener

//---------------------------------------------------
//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';

BenjaminWegener

import tensorflow as tf

def entmax15(inputs, axis=-1):
    """
    Entmax 1.5 implementation, heavily inspired by
     * paper: https://arxiv.org/pdf/1905.05702.pdf
     * pytorch code: https://github.com/deep-spin/entmax
    :param inputs: similar to softmax logits, but for entmax1.5
    :param axis: entmax1.5 outputs will sum to 1 over this axis
    :return: entmax activations of same shape as inputs

BenjaminWegener

Install armhf debian system on qemu

Environment

Operation system: Raspbery Pi OS (Debian 10)

QEMU emulator version: 2+

Installation