So that the training loops performs all epochs

So, on every epoch you can call back to a code function

Because it accelerates the training

It trains the neural

network to fit one set of values to another

It determines if your activity is good for your body

It makes a model fit available memory

It optimizes an existing model

In traditional programming, a programmer has

to formulate or code rules manually, whereas, in Machine Learning, the

algorithm automatically formulates the rules from the data.

Machine learning identifies complex activities such as golf, while

traditional programming is better suited to simpler activities such as walking.

It makes it faster

It makes it slower

It does not affect training

Its impact will depend on other factors

They make processing of images faster

They isolate features in images

They make the image clearer

They make the image smaller

Decides to stop training a neural network

Generates a new and

improved guess

Measures how good the current guess is

Figures out how to efficiently compile your code

False

True