Maybe you don't know: Lambda layers are useful when you need to do some operations on the previous layer but do not want to add any trainable weight to it.
Lambda layers are useful when you need to do some operations on the previous layer but do not want to add any trainable weight to it. Lambda layer is an easy way to customize a layer to do simple arithmetic. Let say you want to add your own activation function (which is not built-in Keras) to a layer. Then you first need to define a function that will take the output from the previous layer as input and apply a custom activation function to it. We then pass this function to the lambda layer.
In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
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