NMZivkovic

<div class="toolbar" role="banner">
  <img
    width="55"
    src="https://i.imgur.com/WQKir0M.png"
  />
  <span>Tensorflow.js and Angular Integration</span>
  <div class="spacer"></div>
</div>
<h2>
  {{title}}

NMZivkovic

from __future__ import print_function, division

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# Keras modules
from tensorflow.keras.layers import Input, Dense, Reshape, Flatten, Dropout, BatchNormalization, Activation, ZeroPadding2D, LeakyReLU, UpSampling2D, Conv2D
from tensorflow.keras.models import Sequential, Model
from tensorflow.keras.optimizers import Adam

NMZivkovic

public class SimpleNeuralNetwork
{
    private NeuralLayerFactory _layerFactory;

    internal List<NeuralLayer> _layers;
    internal double _learningRate;
    internal double[][] _expectedResult;

    /// <summary>
    /// Constructor of the Neural Network.

NMZivkovic

import os
import numpy as np
from glob import glob
import scipy
import matplotlib.pyplot as plt

class ImageHelper(object):
    def save_image(self, plot_images, epoch):
        os.makedirs('cycle_gan_images', exist_ok=True)
        titles = ['Original', 'Transformed']

NMZivkovic

public class TestClass
{
    public int Id { get; set; }
}

NMZivkovic

[Fact]
public void Add_TestClassObjectPassed_ProperMethodCalled()
{
    // Arrange
    var testObject = new TestClass();

    var context = new Mock<DbContext>();
    var dbSetMock = new Mock<DbSet<TestClass>>();
    context.Setup(x => x.Set<TestClass>()).Returns(dbSetMock.Object);
    dbSetMock.Setup(x => x.Add(It.IsAny<TestClass>())).Returns(testObject);

NMZivkovic

class DataSetCreator(object):
    def __init__(self, batch_size, image_height, image_width, dataset):
        self.batch_size = batch_size
        self.image_height = image_height
        self.image_width = image_width
        self.dataset = dataset
        
    def _get_class(self, path):
        pat_splited = tf.strings.split(path, os.path.sep)
        return pat_splited[-2] == CLASS_NAMES

NMZivkovic

"""
Usage: analyse_data.py --company=<company>
"""
import warnings
import logging
import itertools
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from hmmlearn.hmm import GaussianHMM

NMZivkovic

using System;
using SOM.NeuronNamespace;
using SOM.VectorNamespace;

namespace SOM
{
    public class SOMap
    {
        internal INeuron[,] _matrix;
        internal int _height;

NMZivkovic

tfds.core.DatasetInfo(
    name='ted_hrlr_translate',
    version=0.0.1,
    description='Data sets derived from TED talk transcripts for comparing similar language pairs
where one is high resource and the other is low resource.
',
    urls=['https://github.com/neulab/word-embeddings-for-nmt'],
    features=Translation({
        'en': Text(shape=(), dtype=tf.string),
        'ru': Text(shape=(), dtype=tf.string),