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vector 2

3D Tensor(Typical Natural Language Processing)

Step 1. Devide the sentences into words. 2. Vectorize each words. 3. Set up the batch size. Let's say here is data. [[나는 사과를 좋아해], [나는 바나나를 좋아해], [나는 사과를 싫어해], [나는 바나나를 싫어해]] 1. Devide the sentences into words. [['나는', '사과를', '좋아해'], ['나는', '바나나를', '좋아해'], ['나는', '사과를', '싫어해'], ['나는', '바나나를', '싫어해']] 2. Vectorize each words. '나는' = [0.1, 0.2, 0.9] '사과를' = [0.3, 0.5, 0.1] '바나나를' = [0.3, 0.5, 0.2]..

Machine Learning 2022.08.02

Scalar vs Vector vs Matrix vs Tensor

Scalar 0-dimensional, a data consisting of a single real value. For example, your speed is a scalar value because it only has one component, how fast you are going. Your height is also a scalar value because the only component is how tall you are. Vector 1-dimensional array or list. 1-dimensional tensor. np.array([1,2,3]) >>> array([1, 2, 3]) Matrix 2-dimensional which has row and column. np.arr..

Machine Learning 2021.03.17
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d3js, docker-compose, batch size, kafka, forward propagation, Sigmoid function, classmethod, Step Function, yield from, 3D Rotation Matrix, zeros, axis, global variable, Filter, abstractmethod, textdistance, nvidia-smi, randn, Regular Expression, selectall,

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