H13-311_V3.0 Exam Dumps - HCIA-AI V3.0

Ascend

CANN

ModelArts

MindSpore

dtype

isinstance

is_tensor

device

Big data

Computing ability

Algorithm theory

Block chain

VGGNet

ResNet

AlexNet

GoogleNet

Building a calculation chart

Input tensor

Generate a session

Update weights I Right Answers)

1-typerparameters are parameters that set values before the algorithm begins learning.

Most machine learning algorithms have hyperparameters.

Hyperparameters cannot be modified

The value of the hyperparameter is not learned by the algorithm itself.

Backpropagation can only be used in feedforward neural networks

Backpropagation can be combined with gradient descent algorithm to update network weights

Backpropagation passes through the activation function

Back propagation refers to the back propagation of errors through the network

numbers

string

list

tuple

dictionary