Sequences精品文章

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  [Leetcode] Repeated DNA Sequences 重復(fù)DNA序列

  Repeated DNA Sequences All DNA is composed of a series of nucleotides abbreviated as A, C, G, and T, for example: ACGAATTCCG. When studying DNA, it is sometimes useful to identify repeated sequences ...

  wing324 2019-08-14 16:15 評(píng)論0 收藏0
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  leetcode187. Repeated DNA Sequences

  ...GAATTCCG. When studying DNA, it is sometimes useful to identify repeated sequences within the DNA. Write a function to find all the 10-letter-long sequences (substrings) that occur more than once...

  Noodles 2019-08-16 10:58 評(píng)論0 收藏0
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  187. Repeated DNA Sequences

  187. Repeated DNA Sequences 題目鏈接：https://leetcode.com/problems... 這道題要求所有重復(fù)出現(xiàn)的序列，那么可以想到得用hash table，因?yàn)檫@里限制了是10個(gè)字符長(zhǎng)的序列，所以每次其實(shí)是去掉第一個(gè)letter，再加一個(gè)letter，這個(gè)思想和rabin k...

  kviccn 2019-08-16 10:30 評(píng)論0 收藏0
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  前端慌不慌？用深度學(xué)習(xí)自動(dòng)生成HTML代碼

  ...Input(shape=(vocab_size, vocab_size))? ? language_model = LSTM(5, return_sequences=True)(language_input)? ??# Concatenate the information from the image and the input? ? decoder = concatenate([vgg_...

  mrcode 2019-04-25 18:24 評(píng)論0 收藏0
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  Theano - 導(dǎo)數(shù)

  ...(x) y = x ** 2 J, updates = theano.scan(lambda i, y, x: T.grad(y[i], x), sequences=T.arange(y.shape[0]), non_sequences=[y,x]) f = theano.function([x], J, updates=updates) f([4, 4]) 計(jì)算Hessian矩陣 x = ...

  MAX_zuo 2019-07-25 12:01 評(píng)論0 收藏0
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  Theano - 循環(huán)

  ...m) results, updates = theano.scan(lambda v: T.tanh(T.dot(v, W) + b_sym), sequences=X) compute_elementwise = theano.function([X, W, b_sym], results) # 測(cè)試 x = np.eye(2, dtype=theano.config.floatX) ...

  import. 2019-07-25 12:03 評(píng)論0 收藏0
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  tensorflow雙向lstm

  ...ython num_units = 128 lstm_layer = tf.keras.layers.LSTM(num_units, return_sequences=True) bidirectional_layer = tf.keras.layers.Bidirectional(lstm_layer) 在這里，我們定義了一個(gè)有 128 個(gè)單元的 LSTM 層，它將返回一個(gè)序列。然...

  k00baa 2023-04-26 02:42 評(píng)論0 收藏708
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  注意力機(jī)制實(shí)現(xiàn)機(jī)器翻譯

  ...長(zhǎng)，pre:前補(bǔ)長(zhǎng) input_tensor=tf.keras.preprocessing.sequence.pad_sequences( sequences=input_tensor, maxlen=max_length_inp, padding=post ) target_tensor=tf.keras.prepro...

  elisa.yang 2019-07-30 18:37 評(píng)論0 收藏0
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  實(shí)戰(zhàn)篇：如何用Keras建立神經(jīng)網(wǎng)絡(luò)（附全部代碼）

  ...神經(jīng)網(wǎng)絡(luò)的每次輸入都需要具有相同的大小。 def vectorize(sequences, dimension = 10000): results = np.zeros((len(sequences), dimension)) for i, sequence in enumerate(sequences): results[i, sequence] = 1 return results ...

  hss01248 2019-06-26 18:23 評(píng)論0 收藏0
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  前端字符編碼小結(jié)

  ...沒(méi)有問(wèn)題。但在 emoji 表情中，還存在著一些字符（Emoji Sequences），它們沒(méi)有顯示的樣式，主要起著連接、控制等作用。目前有下面幾種： 控制符 和 , 作用是讓基礎(chǔ)Emoji 變成更接近文本樣式( text-style )。, 作用則是讓基礎(chǔ)Emoji 變...

  gitmilk 2019-08-22 14:54 評(píng)論0 收藏0