n one of convolutional layers a ConvNet, the input has the size of 68x62x32, and you convolve it with 64 filters with the filter size of 5, stride of 3 and padding size of 1. What is he size of the output of this layer?

n one of convolutional layers a ConvNet, the input has the size of 68x62x32, and you convolve it with 64 filters with the filter size of 5, stride of 3 and padding size of 1. What is he size of the output of this layer?

Systems Architecture

7th Edition

ISBN:9781305080195

Author:Stephen D. Burd

Publisher:Stephen D. Burd

Chapter7: Input/output Technology

Section: Chapter Questions

Problem 19VE

See similar textbooks

Related questions

Q: What should be the theoretical minimum sampling frequency for the signal to be reconstructed in the…

A: Theoretical Value of sampling frequency is always equal to 2 times the signal frequency. Hence Ns…

Q: An input image has the size of 140x140 and we use a filter (kernel) with the size of 20x20. We then…

A: Given: Input image size(WxH) = 140x140 Filter kernel size(F) = 20x20

Q: Your input is a 58 * 91 RGB image, and you use a convolutional layer with 100 filters that are each…

A: (a): The correct answer is (A) stride size, (B) padding size, (C) image size.

Q: D Given an input volumn 32*56*56 (32 channels, image is 56*56), if we do 1*1 convolution with 8…

A: Answer: We have explain each question in the brief explanation with proper manner so that can be…

Q: *the function of the filter is removing unwanted parts of the signal O extracting useful parts of…

A: As per guidelines I can answer only first question. I hope you will understand. Thank You. 1>…

Q: The Issue: You're writing a graphics filter that runs each image through a filter. Each pixel is…

A: Arithmetic with fixed points.Fixed point arithmetic allows you to perform computations with real…

Q: ser printer can print 60 lines of 75 characters per page. The average character occupies a box 2 mm…

A: Answer:- Each line has C = 80 charactersEach page contains L = 50 linesTherefore the number of…

Q: If we do not use padding and stride is 1, the output size will be axa, where a is

A: The answer is

Q: Consider a convolution operation on a grayscale image with width, height, number o applied to the…

A: Dear Student, The answer to your question is given below -

Q: For an image of size 32x32 and a filter of size 5x5, if you want the convolution result to keep the…

A: Find the required answer with explanation given as below :

Q: : Apply the Mean-Filter to the following image 1 4 5 7 1 10 7 7 14 4 7 7 13 4 7 7 2. 3.

Q: hannel Validation set is (1332, 100, 100, 3) and test set is (1039, 100, 100, 3). I need to reshape…

A: I have a train/valid/test set of RGB images. Training set is (11580, 100, 100, 3) where 11580 is…

Q: The Issue: You're writing a graphics filter that runs each image through a filter. Each pixel is…

A: The problem is that the graphics filter processes each pixel of an image, which is represented as a…

Q: The input image has been converted into a matrix of size 28 X 28 and a kernel/filter of size 3 X 3…

A: Given Prompt: The input image has been converted into a matrix of size 28 X 28 and a kernel/filter…

Q: Take a 256 × 256 grayscaled image. Hide a (text) message of length 15 to 25 in the image such that…

Q: Write a function that determines the histogram of any given 4-bit Grayscale image?

A: Hey there, I am writing the required solution of the above stated question.Please do find the…

Q: The Issue: You're writing a graphics filter that runs each picture through a filter. Each pixel is…

A: Fixed point math is the hack to solve problem: Fixed point arithmetic allows you to perform…

Q: The issue: You are programming a graphics filter that filters each individual picture. The…

A: Solution: A pixel in a digital image is typically represented by three values that determine its…

Q: Given the image below f(x,y), and the filter h(x,y), perform a convolution and calculate the new…

A: The convolution operation is done by placing the center of the filter matrix to the image pixel.…

Q: Y 1 2 3 4 Gaussian Kernel 12 22 15 14 20 1 12 17 22 1 24 0.0275 0.1102 0.0275 2 13 33 24 27 24…

A: It is defined as a kernel with the shape of a Gaussian (normal distribution) curve. Here is a…

Q: Explain how autoencoder works and mention some of its applications Explain the following code

A: Autoencoders:- Autoencoders are a special type of neural network architectures in which…

Q: 16- For the image portion given below, number of bits per pixel is 3 bits. Improve the histogram by…

A: There are two methods of enhancing contrast. The first one is called Histogram stretching that…

Q: Consider the following 8-bit greyscale image: 12 12 12 59 179 254 254 254 12 12 12 59 179 254 254…

A: huffman encoding:It is the basic compression methods, that is useful in image and video…

Q: Q7: Apply the Gaussian-Filter to the following image 12. 3. 01 10 17 7. 14 13 7. Given that the…

Q: oefficients

A: given- Given the calculated filter coefficients h (0) = 0.25, h (- 1) = h(1) = 0.22508, h(- 2) =…

Q: Consider a 2d Convolutional Layer defined below. Given a 20x20 sized input image, this outputs 5…

A: Here is the explanation regarding the value of x.

Q: Consider a convolution layer that processes an input image of size 256 × 256 × 3 and where the…

A: If the convolution layer processes an input image of size 256 x 256 x 3 and the output has one…

Q: The issue: You are programming a graphics filter that filters each individual image. Each pixel is…

A: Red (R), green (G), and blue (B) are the three values that commonly make up a pixel's representation…

Q: What are the four most essential software development traits? Please comment on the other four…

A: (1) Passionate: It is still an important characteristic of a software developer. Or any other…

Question

In one of convolutional layers a ConvNet, the input has the size of 68x62x32, and you convolve it with 64 filters with the filter size of 5, stride of 3 and padding size of 1. What is
the size of the output of this layer?

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 2 steps with 1 images

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.

Similar questions

answer only u know
Consider a convolution layer that processes an input image of size 256 × 256 x 3 and where the output has one channel. If the convolution layer contains a single 1 x 1 convolution filter, how many parameters are there including bias?
In a certain font, a monochrome laser printer can print 60 lines of 75 characters per page. The average character occupies a box 2 mm × 2 mm, about 25% of which is toner. The rest is blank (i.e., no toner) The toner layer is 25 microns thick. The printer’s toner cartridge measures 25 × 8 × 2 cm. How many pages is one toner cartridge good for?
1. Consider an input image of shape 500x500x3. The image is flattened and a fully connected layer with 100 hidden units is used. What is the shape of the weight matrix of this layer (without the bias)? What is the shape of the bias? 2. You run this image in a convolutional layer with 10 filters, of kernel size 5x5. How many parameters does this layer have?
Given the image below f(x,y), and the filter h(x,y), perform a convolution and calculate the new filtered pixel values for pixel c in the filtered image.
Consider a convolution operation on a grayscale image with width, height, number of channels - 10x10x1. A convolution layer with the following parameters is applied to the image number of fiters: 1 filter size: 3x3 stride: 2 padding: None What is the resulting shaper 4x4x1 5x5x1 8x8x1 7x7x1
For an image of size 32x32 and a filter of size 5x5, if you want the convolution result to keep the original image size, what's the padding size in pixels? a) 5 b) 2 c)10 d) 3 explain.
The Issue: You're writing a graphics filter that runs each picture through a filter. Each pixel is specified as a triplet of real numbers (R,G,B) ranging from 0 to 255. To do their task, the filtering algorithms must operate on actual numbers. However, when you examine the software, you will notice that they only require two digits of accuracy. Any extra digits are unnecessary.
Write a function that determines the histogram of any given 4-bit Grayscale image?
Given an input volumn 32*56*56 (32 channels, image is 56*56), if we do 1*1 convolution with 8 filters, what's the output volumn? O 8*28*28 O 8*56*56 O 16*56*56 O 16*28*28 Assume the input volume of an image is 227x227x3 (channel is 3), if we apply 16 12x12 filters, how many parameters? O 16*12*12 O 3*16*12*12 O 3*12*12 O 227*227*3*16 Suppose we have a feature map with 30X30 pixels. After maxpooling with 2X2 kernel, what size of feature map will it be changed to? O 10X10 O 15X15 O 30X30 O28X28
The issue: You are programming a graphics filter that filters each individual picture. The definition of a pixel is a triplet of real integers (R, G, and B), each of which ranges from 0 to 255. For the filtering methods to function properly, real numbers must be used. However, after looking at the software, you find that they only require two digits of accuracy. Any extra numbers are just unnecessary.
in Q1 it is 8-bit image not 4-bit image.