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Now we have prepared our data for image classifier.

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The next step is model creation.

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There are two ways to create and create newer model indicators.

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The first one is the sequential model Apia and the second one is the functional API

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sequential API is straightforward and simple whereas functional API is little bit complex but it will

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give you the flexibility to create some complex neural networks sequential EPA is useful to create layer

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by layer models such as these where all the outputs of previous layer are connected as inputs of the

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next layer and so on.

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So for the simple neural networks like this sequential API is recommended

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but for some advanced complex structure such as this here we are using input as an input for concrete

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layer as well.

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So this layer have two inputs one all our primary input parameters and the outputs of hidden layer as

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well so anywhere.

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If you want complex structure like this or you want to only use some part of your input in one hidden

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layer and other part of input in some other hidden layer for all such variations you can use functional

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API but for a straight forward dense neural networks like this you can use sequential API in this course.

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First we will use the sequential API then we will also look at this example of functional labia.