Question

What does w 3 (1) /
2
represent according to the notation defined for DNN?​

Answer 1

Answer:

weight with respect to 1st feature at 2nd node of layer 3

Answer 2

Answer:

w 3 (1) /2 means weight concerning 1st feature at the 2nd node of layer 3

Explanation:

Accordingg to the notation defined for DNN, w 3 (1) /2 means weight concerning 1st feature at the 2nd node of layer 3.

DNN:

A deconvolutional neural network uses an inverse convolution model. Some experts characterize deconvolutional neural network work as "constructing layers from an image in an upward orientation," whilst others describe deconvolutional models as "reverse engineering" the input parameters of a convolutional neural network model.

• Deconvolutional neural networks, also known as deconvolutional networks, deconvs, or transposed convolutional neural networks, are a type of neural network.

• Deconvolutional neural networks can be described in many different ways. Many of these tools use the same types of filters as convolutional neural networks but use them differently.
• Professionals utilize ideas like backpropagation and reverse filtering along with techniques like striding and padding to build transposed convolutional models.

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