Compared to his predecessor, Mahathir Mohamad, who took it upon himself to interpret the true meaning of the faith despite a relatively secular upbringing, Mr Badawi is the very image of learned and measured piety.In fact, Dr Mahathir's retirement last year has boosted UMNO in several respects.
Any mention of translation exercises today evokes an image of students learning grammar by rote and struggling through the brain-torturing translation of literary texts.
The image of him learning to walk to the store with his crew of combat Barbies in tow was especially moving.
Another significant part of the account, detailing Creangă's education, shows him frustrated by the old methods of teaching, insisting on the absurd image of children learning by heart and chanting elements of Romanian grammar and even whole texts.
The REFs were embedded into a genetic algorithm (GA -based relevance feedback (RF) model, called WLSP-C ±, aimed at improvinGA -basedetrelevancesults through the use ofeedbackng weights foRFimodeldescalledrs and image regions.
The palace is now home to the City Art Gallery, which recently inaugurated "Passage," an installation by the Slovakian artist Mantej Kren, which uses mirrors to expand stacks of books into an infinite library — a fitting image for a city of learning.
Table 2 Working object detection performance Index items Value Number of learning image Training: 1500, test: 500 Number of class 2 Learning iteration 15,000 Intersection over union 89.6% Mean average precision 75.5%.
Table 1 Recognition performance of deep learning Index items Value Number of learning image Training: 9000, test: 1000 Number of class 6 Learning iteration 200,000 Pipe* 71.5, 86.6, 94.1% Valve* 71.9, 85.6, 95.7% * The probability for which the true name of the object is included in the Top(k) (k = 1, 2.3) of the output result of the deep learning.
The evaluation tests the influence of the following choices of the architecture: non-linearity (ReLU, ELU, maxout, compatability with batch normalization), pooling variants (stochastic, max, average, mixed), network width, classifier design (convolutional, fully-connected, SPP), image pre-processing, and of learning parameters: learning rate, batch size, cleanliness of the data, etc.
