What do “compile” , “fit” and “predict” do in Keras sequential models?
$begingroup$
I am a little confused between these two parts of Keras sequential models
functions. May someone explains what is exactly the job of each one? I mean compile
doing forward pass and calculating cost function
then pass it through fit
to do backward pass and calculating derivatives and updating weights
? Or what?
I have seen in some codes, they only used compile
function for some of their LSTM
s and fit
for some other ones! So I need to know each of these functions do what part of the work(training a neural network).
It's also interesting for me to know what exactly do predict
function as well.
Very thank you in advanced!
keras prediction backpropagation cost-function methods
$endgroup$
add a comment |
$begingroup$
I am a little confused between these two parts of Keras sequential models
functions. May someone explains what is exactly the job of each one? I mean compile
doing forward pass and calculating cost function
then pass it through fit
to do backward pass and calculating derivatives and updating weights
? Or what?
I have seen in some codes, they only used compile
function for some of their LSTM
s and fit
for some other ones! So I need to know each of these functions do what part of the work(training a neural network).
It's also interesting for me to know what exactly do predict
function as well.
Very thank you in advanced!
keras prediction backpropagation cost-function methods
$endgroup$
add a comment |
$begingroup$
I am a little confused between these two parts of Keras sequential models
functions. May someone explains what is exactly the job of each one? I mean compile
doing forward pass and calculating cost function
then pass it through fit
to do backward pass and calculating derivatives and updating weights
? Or what?
I have seen in some codes, they only used compile
function for some of their LSTM
s and fit
for some other ones! So I need to know each of these functions do what part of the work(training a neural network).
It's also interesting for me to know what exactly do predict
function as well.
Very thank you in advanced!
keras prediction backpropagation cost-function methods
$endgroup$
I am a little confused between these two parts of Keras sequential models
functions. May someone explains what is exactly the job of each one? I mean compile
doing forward pass and calculating cost function
then pass it through fit
to do backward pass and calculating derivatives and updating weights
? Or what?
I have seen in some codes, they only used compile
function for some of their LSTM
s and fit
for some other ones! So I need to know each of these functions do what part of the work(training a neural network).
It's also interesting for me to know what exactly do predict
function as well.
Very thank you in advanced!
keras prediction backpropagation cost-function methods
keras prediction backpropagation cost-function methods
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