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Chollet Discusses the Types of Tensors Typically Encountered in Deep \bullet

question 55

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Chollet discusses the types of tensors typically encountered in deep learning: \bullet A 0D (0-dimensional) tensor is one value and is known as a xe "scalar value"scalar.
\bullet A 1D tensor is similar to a one-dimensional array and is known as a xe "vector"vector. A 1D tensor might represent a sequence, such as hourly temperature readings from a sensor or the words of one movie review.
\bullet A 2D tensor is similar to a two-dimensional array and is known as a xe "matrix"matrix. A 2D tensor could represent a grayscale image in which the tensor's two dimensions are the image's width and height in pixels, and the value in each element is the intensity of that pixel.
Which of the following statements a) , b) or c) about additional types of tensors is false?


Definitions:

Predetermined Overhead Rate

A rate calculated before the manufacturing process begins, used to allocate manufacturing overhead costs to individual units of production based on a certain basis (e.g., machine hours or labor hours).

Machine-Hours

The total hours that machines are in operation during a specific period used as a measure for allocating costs or determining efficiency.

Job-Order Costing System

A costing method used to calculate the costs associated with individual jobs or orders, tracking direct labor, direct materials, and manufacturing overhead per job.

Predetermined Overhead Rate

It is a rate used to allocate estimated overhead costs to cost objects based on a chosen activity base, calculated before the period begins.

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