alseambusher

/**
 * Flattens an input tensor.
 * @param inputs Tensor input
 */

function flatten(inputs: Tensor) {
  return g.reshape(inputs, (() => {
    let i = 1;
    inputs.shape.forEach((val) => { i *= val });
    return [i];

alseambusher

// 32 5x5 filters
var network = conv2d(tensor, 32, 5, graph);

// 32 5x5 filters, stride 2, "same" padding with relu activation
var network = conv2d(tensor, 32, 5, graph, 2, "SAME", undefined, (layer, graph) => {return graph.relu(layer)});

// applying some kernel_initializer
var network = conv2d(x, 32, 5, g, undefined, undefined, undefined, undefined, new RandomUniformInitializer(0, 0.5));

alseambusher

function conv2d(
  inputs: Tensor, 
  filters: number, 
  kernel_size: number, 
  graph: Graph, 
  strides: number = 1, 
  padding = "valid", 
  data_format = "channels_last", 
  activation?, 
  kernel_initializer: Initializer = new VarianceScalingInitializer(),

alseambusher

function conv2d(
  inputs: Tensor, 
  filters: number, 
  kernel_size: number, 
  graph: Graph, 
  strides: number = 1, 
  padding = "valid", 
  data_format = "channels_last", 
  activation?, 
  kernel_initializer: Initializer = new VarianceScalingInitializer(),

alseambusher

import {Array1D, NDArray, NDArrayMathGPU, Scalar, Graph, InCPUMemoryShuffledInputProviderBuilder, Session, FeedEntry, AdamOptimizer, Initializer, ZerosInitializer, VarianceScalingInitializer, CostReduction} from 'deeplearn';
import { Tensor } from 'deeplearn/dist/src/graph/graph';

const learning_rate = 0.001
const num_steps = 2000
const batch_size = 128

const num_classes = 10 // MNIST total classes (0-9 digits)
const num_input = 784 // MNIST data input (img shape: 28*28)

alseambusher

#!/usr/bin/env python2
# -*- coding: utf-8 -*-

import os
import subprocess
import sys
import re
import random

MAX_SEGMENTS=100

alseambusher

Happy Birthday

See this for demo

Here is a still

alseambusher

mount -o remount,rw /system /system
cd /system/bin
wget https://gist.githubusercontent.com/alseambusher/dbe72dac05b17c28cc13/raw/c23e9e42c506ceb18177f5d3db7a20ca0874f624/python
chmod +x python

alseambusher

#!/bin/bash

# remove fuse4x and install ntfs-3g and osxfuse
brew remove fuse4x
brew install ntfs-3g
brew install osxfuse

# replace the old one 
sudo mv /sbin/mount_ntfs /sbin/mount_ntfs.old
sudo ln -s /usr/local/Cellar/ntfs-3g/*/sbin/mount_ntfs /sbin/mount_ntfs

alseambusher

#!/bin/bash
open -a "`ls -d /Applications/*.app|grep -i $1`" $2 $3 $4 $5 $6