‫Now we have prepared our data for image classifier.
‫The next step is model creation.
‫There are two ways to create and create newer model indicators.
‫The first one is the sequential model Apia and the second one is the functional API
‫sequential API is straightforward and simple whereas functional API is little bit complex but it will
‫give you the flexibility to create some complex neural networks sequential EPA is useful to create layer
‫by layer models such as these where all the outputs of previous layer are connected as inputs of the
‫next layer and so on.
‫So for the simple neural networks like this sequential API is recommended
‫but for some advanced complex structure such as this here we are using input as an input for concrete
‫layer as well.
‫So this layer have two inputs one all our primary input parameters and the outputs of hidden layer as
‫well so anywhere.
‫If you want complex structure like this or you want to only use some part of your input in one hidden
‫layer and other part of input in some other hidden layer for all such variations you can use functional
‫API but for a straight forward dense neural networks like this you can use sequential API in this course.
‫First we will use the sequential API then we will also look at this example of functional labia.