39 lines
1.0 KiB
Plaintext
39 lines
1.0 KiB
Plaintext
#第一题
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for c in "Hello":
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print(f"{c}:{ord(c)}")
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#第二题
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print(chr(65))
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assert chr(65) =='A'
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#思考题:“图像为数值化结构数据，适配计算架构；文本为语义化符号数据，需认知理解，超出当前AI本质能力。”
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#第三题
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import numpy as np
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A=np.array([3,4])
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B=np.array([1,2])
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c=A+B
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d=A*2
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print(f"A+B={c}")
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print(f"2*A={d}")
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length = np.linalg.norm(A)
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print(f"A的长度为{length}")
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#第四题
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C = np.array([1, 2, 3])
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D = np.array([4, 5, 6])
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dot = np.dot(C, D)
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print(f"点积 = {dot}")
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import numpy as np
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def cosine_similarity(C, D):
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norm_a = np.linalg.norm(C) # 向量a的长度
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norm_b = np.linalg.norm(D) # 向量b的长度
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return dot / (norm_a * norm_b)
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print(f"相似度 = {cosine_similarity(C, D):.3f}")
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E=np.array([1,0])
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F=np.array([0,1])
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def cosine_similarity(E, F):
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norm_C = np.linalg.norm(E) # 向量a的长度
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norm_D = np.linalg.norm(F) # 向量b的长度
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return dot / (norm_C * norm_D)
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print(f"相似度 = {cosine_similarity(E, F):.3f}")
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