...BLENDING English has a rather smooth sentence rhythm. The sounds are connected from one word to another to another within a phrase. As a mechanical aid to blending during drill work, the student may consider the last sound of the first word part of the second word. Examples: 1. Is it raining hard today? 2. You must not adopt/an articulation pattern/ that calls attention to itself./// Verb + pronoun: * Do it> du it * Call her > caler Preposition of measurement: * a cup of tea > a kapov tee * A glass of water> a glasov Put a blend mark on the words that should be blended A canᴗ͜͜of tuna = a kanov tuna * get out - ge-tout * look at it - loo-ka-tit * not at all - no-ta-tall * what is it - wha-ti-sit * for all I know - forall I know * I prefer it -I preferit Improving Accent through Word Liaisons or Blending Consonant + Vowel * My name is David * Hold on * Turn over * Read only * Fall off * Follow up on * Come in * Sell it * Fade away Vowel + Vowel * Go away. * I also need the other one. * Go anywhere. * So honest * Through our initiative * You are * He is * Do I? * I asked * To open Pronunciation Practice. Read the following lines with proper blending and intonation: Or is reduced to r ex: rape or money? > rape r money And is reduced to n ex: money and power. > money n power ...
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...Deep Learning more at http://ml.memect.com Contents 1 Artificial neural network 1 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 History . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2.1 Improvements since 2006 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3.1 Network function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3.2 Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3.3 Learning paradigms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3.4 Learning algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.4 Employing artificial neural networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.5 Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.5.1 Real-life applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.5.2 Neural networks and neuroscience . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.6 Neural network software ...
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