299-train swapping
Time limit:3.000 seconds
Http://uva.onlinejudge.org/index.php?option=com_onlinejudgeItemid=8category=98page=show_problem problem=235
At a old railway station, your may still encounter one of the last remaining ' train swappers '. A Train Swapper is a employee of the railroad, whose sole job it are to rearrange the carriages of trains.
Once the carriages are arranged in the optimal order, all train driver-do, are drop the has off, one by on E, at the stations for which the
no drawbacks. PHP syntax from the script style, but add object-oriented features, this kind of tiger is not the anti-dog of the fish and fish, has been criticized. This may be a soft rib for Ruby on Rails fan attacks. On the other hand, as mentioned earlier, PHP does not have the framework features of Ruby on Rails as a single programming language. This means that it requires very high programming costs, unless a plugin and a tool are used to develop the application from scratch by PHP alone. F
detect facial, facial, facial classification, create facial sets, create groupings, and get information.
Link: https://www.faceplusplus.com
5.FaceMark: The API provides the ability to identify 68 dots on the front face and 35 points on the side face photo.
Link: http://apicloud.me/apis/facemark/docs
6.FaceRect: This is a powerful API for facial detection and is completely free. The API can find the face (either positive or lateral) or multiple faces in a single photo, and give a JSON output f
are a lot of "small movies" on TV, and DIY cars, boats and aircraft in the United States have been playing for many years, so that people have a lot of energy to do things according to their hobbies. , the production of a large number of products, forming a strong amateur productivity, along with the popularity of Internet online life, these amateur productivity naturally migrated to the Internet, the achievements of MySpace, YouTube, Amazon.
And at
the lenet, and the pictures are divided into four categories: dogs, cats, boats, birds (lenet is primarily used to do this). As shown in the figure above, when a ship chart is taken as input, the network correctly assigns the highest probability to the ship's classification (0.94). The sum of each probability of the output layer should be 1.
The convolutional neural network in Figure 3 performs four main operations: Convolution nonlinear (ReLU) pooli
support is better.
Many readers are puzzled by the volume of media introductions, in fact, there are three kinds of sizes for Blu-ray single-sided single-layer optical discs: 23GB, 25GB and 27GB three of capacity. The slight difference is due to the problem of the edge stability of the process and the data verification space taken up by the optical transparent protective layer. From the show almost exclusively 25GB specifications, the future 25GB Blu-ray will be in the civil market thoroughly
conditional connection has only equal conditions and will satisfy the filter of equality of property values.3) Natural Connection (Natural join): It is most commonly used to make equivalent connections on all common properties on the Cartesian product.
Division
Although not a basic operation, it is often used. The main application is to answer similar questions: Find sailors who has reserved all boats.
Outer Joins
An oute
1
Output
1000000000000
Note
Pictures to the first and second sample test.
Say a piece of rectangular paper ~, Each time, the shorter side is used as the side length to cut down a square and fold a paper boat. Ask how many paper boats can be folded with known length and width.
I want to say ...... Is there a picture for the question !!!
If the cropping effect does not reach the remainder of
As a matter of fact, we should understand this pi
wants a fishing rod, so they part their ways. The person who got the fish started to cook the fish with a bonfire in the same place. He swallowed the fish and didn't taste the meat of the fresh fish. in a twinkling of an eye, the fish and the soup were swallowed up by him. Soon, then he starved to death beside the empty basket. Another person continued to starve with a fishing rod and walked to the beach step by step. But when he saw the blue ocean not far away, his last strength was exhausted,
other hungry people who also received a fishing rod and a basket of fish from the elders. But they didn't go to different things, but agreed to look for the sea together. They cook only one fish each time. After a long journey, they came to the sea. From then on, they started fishing for a living. A few years later, they built a house, had their own courts and children, had their own fishing boats, and lived a happy and healthy life.Revelation: A per
part their ways. The person who got the fish started to cook the fish with a bonfire in the same place. He swallowed the fish and didn't taste the meat of the fresh fish. in a twinkling of an eye, the fish and the soup were swallowed up by him. Soon, then he starved to death beside the empty basket. Another person continued to starve with a fishing rod and walked to the beach step by step. But when he saw the blue ocean not far away, his last strength was exhausted, he can only hide his eyes wi
you wait a little longer and catch more fish? The Mexican fisherman thinks that these fish are enough for my family's life! The Americans asked: So what are you doing for so much time in a day? The Mexican fisherman explained: Me? I wake up naturally every day, capture a few fish out of the sea, come back to play with the children, take a nap with my wife, shake to the village at dusk to have a drink, and play a guitar with the boys, my days are full and busy! The Americans did not agree. They
impossible to see the world?In a real sense, Fernando peso A. txtMy name is hongkong.txtSubmit my university certificate .txtTomatmasse's Short Story: .txtDay and night [Su] KANG Mi sienov.txtChen Xinxing's son, kanaer.txtMoon shine and catalogue .txtCall amusement park Kristina logan.txtChamiliya [Soviet Union] Qinzhou atematov.txtThe title of the tree. txt《Glifoad example .txtCase in the case [Soviet Union] a DA mof.txtMonroe's last years [fa] Michelle Schneider. txtThe only thing that ever h
world's most Michael began this great adventure. his challenge is not only those Endless ridicule, as well as all sorts of unfounded rumors. from peels bleach to homosexuality, pedophilia and then ...... and Jackson's response was simple and helpless, "when I looked at myself standing in front of the mirror, I know, I am a Negro. lonely Peter Pan Jackson to face, in addition to countless number of framed and defamation, but also has a cruel betrayal. cellular sister's betrayal And disinformatio
unique style of Bai nationality. After asking a white child, we finally walked out of the group and came to the road. At this time, it was three or four o'clock in the afternoon. When we arrived on the road, we found that there were still many people riding around the ocean like us. After a while, I finally came to the lake-like road by the side of Erhai. The Erhai Lake in summer is calm. One or two boats wandering in the center of the lake, with the
Hublot launches new Big Bang replica watches
Big Bang Luna Rossa has become a new 2007 addition to the hublot Big BandReplica watchesFamily. The timepiece commemorates hublot-Luna Rossa partnership and strengthensReplica watchesBrand's long-established connection to the world of the sea and boats. Even the brand's name, as well as the shape of itsReplica watchesCases, hints at its links to the nautical realms-hublot means 'porthole' in French.
The
." (Gao Yi? Five people are reserved together ?)The show was so happy to hear this from the seemingly slim stretch."Senior student, senior student was born in March, so he is a higher level than me ."In the face of a prank-like smile, I smiled and responded."This summer, is it 16 years old? It seems to be the beginning of this month, isn't it ?""No, it's next month. I always feel that at the end of my summer vacation, I will be closer to the world of adults ."Wet hair is shaking slightly in the
[3] Longest substring without repeating characters
[11] container with most water
[15] 3sum
[16] 3sum closest
[18] 4Sum
[19] Remove nth node from end of list
[26] remove duplicates from sorted Array
[27] Remove Element
[28] implement strstr ()
[30] substring with concatenation of all words
[42] trapping rain water
[61] rotate list
[75] Sort colors
[76] minimum window substring
[80] remove duplicates from sorted array II
[86] partition list
[88] merge sorted Array
[1, 125] valid palindrome
[141]
coming, the sunset under the Geshao, the water in the stream of paper boats, eventually became a faint nostalgia between the lips, we and youth Farewell, goodbye to those youth of the beautiful. The river of years is trickling, everyone is enjoying the scenery on both sides. The campus has our most beautiful scenery, that is we never want to leave the place, or is my life the most beautiful memories, although think up, sentimental, sad, often tearful
0. Learning Objectives
TensorFlow Data Reading principle
Deep Learning data Enhancement principles
I. Introduction to the CIFAR-10 data setIt is a small data set for ordinary object recognition and contains 10 categories of RGB color XXX Films (aircraft, cars, birds, cats, deer, dogs, frogs, horses, boats, trucks). The image size is 32 pixels * *, there are 50000 training pictures and 1000*** test picturesin the data set . Some of
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