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 ...
...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...
187. Repeated DNA Sequences 题目链接：https://leetcode.com/problems... 这道题要求所有重复出现的序列，那么可以想到得用hash table，因为这里限制了是10个字符长的序列，所以每次其实是去掉第一个letter，再加一个letter，这个思想和rabin k...
...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_...
...(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]) 计算Hessian矩阵 x = ...
...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) # 测试 x = np.eye(2, dtype=theano.config.floatX) ...
...ython num_units = 128 lstm_layer = tf.keras.layers.LSTM(num_units, return_sequences=True) bidirectional_layer = tf.keras.layers.Bidirectional(lstm_layer) 在这里，我们定义了一个有 128 个单元的 LSTM 层，它将返回一个序列。然...
...长，pre:前补长 input_tensor=tf.keras.preprocessing.sequence.pad_sequences( sequences=input_tensor, maxlen=max_length_inp, padding=post ) target_tensor=tf.keras.prepro...
...神经网络的每次输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 ...
ChatGPT和Sora等AI大模型应用，将AI大模型和算力需求的热度不断带上新的台阶。哪里可以获得...
大模型的训练用4090是不合适的，但推理（inference/serving）用4090不能说合适，...
图示为GPU性能排行榜，我们可以看到所有GPU的原始相关性能图表。同时根据训练、推理能力由高到低做了...
