Working With The Lambda Layer in Keras | Paperspace Blog

Keras is a popular and easy-to-use library for building deep learning models. It supports all known type of layers: input, dense, convolutional, transposed convolution, reshape, normalization, dropout, flatten, and activation. Each layer performs a particular operations on the data.

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Thanks Ahmed!
It’s a great post and very useful.
It really helped me.


Glad the post is useful and left a good impression :slight_smile:


Mam, Can you please explain how backpropogation is being done in Lambda Layer