Marina-Miranovich

export const loadModel = async () => {
  const mn = new mobilenet.MobileNet(1, 1);
  mn.path = `file://PATH/TO/model.json`;
  await mn.load();
  return (input): tf.Tensor1D =>
      mn.infer(input, 'global_average_pooling2d_1')
        .reshape([1024]);
};

Marina-Miranovich

import * as tf from '@tensorflow/tfjs';

const model = tf.sequential();
model.add(tf.layers.inputLayer({ inputShape: [1024] }));
model.add(tf.layers.dense({ units: 1024, activation: 'relu' }));
model.add(tf.layers.dense({ units: 1, activation: 'sigmoid' }));
model.compile({
  optimizer: tf.train.adam(1e-6),
  loss: tf.losses.sigmoidCrossEntropy,
  metrics: ['accuracy']

Marina-Miranovich

np.random.seed(44)
ia.seed(44)
def main():
    for i in range(1, 191):
        draw_single_sequential_images(str(i), "others", "others-aug")
    for i in range(1, 191):
        draw_single_sequential_images(str(i), "hits", "hits-aug")
    for i in range(1, 191):
        draw_single_sequential_images(str(i), "kicks", "kicks-aug")
def draw_single_sequential_images(filename, path, aug_path):

Marina-Miranovich

• TDD: https://en.wikipedia.org/wiki/Test-driven_development
• TDD profit graphs http://www.webcitation.org/61G4kow2C and http://www.agilemodeling.com/essays/costOfChange.htm
• Unit testing: https://en.wikipedia.org/wiki/Unit_testing
• Test classification: http://habrahabr.ru/company/npo-comp/blog/223833/
• Testing mind map: https://github.com/polarnik/TypesOfTesting

And a ton of literature that doesn't directly mentioned in the presentation, but it still has a big influence on my speech:

• http://habrahabr.ru/post/119465/ (rus)
• https://blog.8thlight.com/uncle-bob/2014/04/30/When-tdd-does-not-work.html (eng)
• http://img105.job1001.com/upload/adminnew/2015-02-05/1423102064-STSV0KT.pdf (eng and book!)