English
Menu

Machine Learning Basics

A 28×28 single-channel image is convolved with a 5×5 filter (stride 1, no padding), followed by 2×2 max pooling (stride 2). What are the height and width of the output?

  1. A12×12
  2. B14×14
  3. C24×24
Show answer and explanation

Answer: A. 12×12

The output size of a convolution is (N + 2P − F) ÷ S + 1, where N is the input size, F the filter size, P the padding and S the stride. (28 + 0 − 5) ÷ 1 + 1 = 24, so the output after convolution is 24×24. 2×2 max pooling with stride 2 keeps one maximum for each 2×2 region, halving the height and width to 12×12. Pooling has no trainable parameters; it shrinks the data to reduce computation and makes the network less sensitive to small shifts in position.

  • A. Correct. Convolution gives 24×24 and pooling gives 12×12.
  • B. This skips the convolution and applies pooling directly to the 28×28 image.
  • C. This is the size after convolution, without pooling.
Practice this topic Back to topic

Related calculators

CNN output size calculatorStack convolution, pooling and fully connected layers and get each layer's output size, parameter count and multiply-accumulate countConfusion matrix calculatorCompute accuracy, precision, recall, F1, specificity, MCC and other metrics from TP, FN, FP and TN

Books on Machine Learning Basics Ad

As an Amazon Associate I earn from qualifying purchases.

More Machine Learning Basics questions

  1. Which of the following correctly describes recurrent neural networks (RNNs) and LSTMs?
  2. Which of the following describes the self-attention used in the Transformer?
  3. Which of the following describes transfer learning, in which a model trained on a large amount of data is used for a different task with little data?
  4. Which of the following correctly describes models that generate images and similar data?
  5. Which of the following describes how a large language model (LLM) processes text?