Unlocking the Potential of Deep Learning in Big Data Computing Meeting 9

University:
University of Cambridge
Course:
ACC 241 | Accounting
Academic year:

2024
Views:

96

Pages:

11
Author:

Kamis Berhasil

18 in Convolutional Neural Network Algorithm, Retli is often used in Select one a. Hidden Input layer Output layer d. Classification layer The correct answers: Hidden layer To increase the number of successfully extracted features in the Convolutional Neural Network Algorithm is usest Select one a. Padding b. Epach c. Max Pooling d. Stride The correct answer is Padding The parameter in the Convolutional Neural Network Algorithm that determines how many filter shifts, are referred to as Seiert or a. Stride Epoch Dropout d. Padding The correct answer in Stride The following is the effect of shrinking the stride value in the Convolutional Neural Network Algorithim Select one a. The computing procens is getting faster All right More detailed information obtained d. letter performance The corect answer is: The information obtained is more detailed Pooting layer aims to Select one a. Overfitting inverstiminig . Reduce the dimension of the feature map c. Speed up the computing process d. All right The correct answer is. All correct The following is a loss function in a Neural Network-based algonthm Select one Sigmoid function b. Relu c. All right d. Cross entropy The correct answer is Cross entropy 10. The feature extraction stage of teConvolutional Neural Network algorithm consists of the following layers, except Select one: a Fully connected as 100 b. Convolutional layer c Pooling layer d. All wrong The corect answer is: Fully connected layer The following a a Python library for Deep Learning Algorithms Select one a. Hard b PyTorch c. All right d. Tensorflow The correct answer: Al correct The result of the fatten process in the Convolutional Neural Network Algorithm becomes the input Select ane a. Convolutional b. Fully connected layer All wrong d. Pooling layer The corect answer is Fully-connected layer