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  • [Leetcode] Repeated DNA Sequences 重復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 評論0 收藏0
  • 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 評論0 收藏0
  • 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出現的序列,那么可以想到得用hash table,因為這里限制了是10個字符長的序列,所以每次其實是去掉第一個letter,再加一個letter,這個思想和rabin k...

    kviccn 評論0 收藏0
  • 前端慌不慌?用深度學習自動生成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 評論0 收藏0
  • Theano - 導數

    ...(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]) 計算Hessian矩陣 x = ...

    MAX_zuo 評論0 收藏0
  • Theano - 循環

    ...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) # 測試 x = np.eye(2, dtype=theano.config.floatX) ...

    import. 評論0 收藏0
  • 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,我們定義了一個有 128 個單元的 LSTM 層,它將返回一個序列。然...

    k00baa 評論0 收藏708
  • 注意力機制實現機器翻譯

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

    elisa.yang 評論0 收藏0
  • 實戰篇:如何用Keras建立神經網絡(附全部代碼)

    ...神經網絡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 評論0 收藏0
  • 前端字符編碼小結

    ...沒有問題。但在 emoji 表情中,還存在著一些字符(Emoji Sequences),它們沒有顯示的樣式,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Emoji 變成更接近文本樣式( text-style )。, 作用則是讓基礎Emoji 變...

    gitmilk 評論0 收藏0

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